chore: remove and retire resume files from repo
This commit is contained in:
Story Crater Bot
@@ -8,3 +8,5 @@ node_modules/
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.claude
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.claude
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# Prompts/knowledge (not committed)
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# Prompts/knowledge (not committed)
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docs/
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docs/
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resume.tex
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RESUME.txt
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-228
@@ -1,228 +0,0 @@
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================================================================================
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ROCK LIANG - RESUME
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================================================================================
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CONTACT INFORMATION
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Email: [email protected]
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Portfolio: https://riotpiao.com
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GitHub: https://github.com/rockliang
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================================================================================
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PROFESSIONAL SUMMARY
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================================================================================
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Experience:
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6+ years building production-grade infrastructure, backend systems, and LLM
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applications. Specialized in Kubernetes orchestration (Talos Linux, ArgoCD),
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Infrastructure-as-Code (Terraform), distributed systems design, AWS scale
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operations, and GPU-accelerated inference.
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Core Competencies:
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Production Kubernetes (Talos, GitOps/ArgoCD, 99.2% uptime). Terraform IaC
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with drift detection. AWS distributed systems (57+ regions). Golang backend
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services. Observability (Prometheus/Grafana/Loki/Tempo). Message queuing
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(Kafka/Temporal workflows). GPU inference (vLLM, 60% latency improvement).
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Zero-trust networking (OIDC/RBAC).
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Strengths:
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Owning systems end-to-end—design doc through oncall. Building fault-tolerant
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platforms with 99.2% automation. Unblocking teams with clear technical
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communication.
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================================================================================
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EXPERIENCE
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================================================================================
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---
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SELF-HOSTED PRODUCTION (riotpiao.com)
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DevOps / SRE / SDE
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Home Lab | May 2025 — Present
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Challenge & Solution:
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Built AWS from scratch at home on bare-metal Kubernetes—Talos Linux for
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secure immutable OS, ArgoCD for GitOps pipeline automation, SOPS for
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encrypted secrets management, cert-manager for PKI. Result:
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production-grade multi-tenant platform with Kafka, PostgreSQL, S3, GPU LLM
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inference, Temporal workflows in 4-node cluster.
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Tech:
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• Kubernetes (Talos, ArgoCD) — Talos immutable, atomic updates, no SSH, full
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GitOps state. ArgoCD automatic sync with drift detection. Cilium eBPF CNI.
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• Terraform + Kustomize — Declarative infrastructure. State management via
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Terraform Cloud. Kustomize overlays for multi-env.
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• Secrets & Security — SOPS age encryption with git audit trail. Authentik
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OIDC SSO with Kubernetes RBAC. cert-manager + Let's Encrypt (30d renewal,
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7d pre-expiry alerts).
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Infrastructure & Services:
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• Longhorn 3-replica block storage. MinIO S3-compatible API. CloudNativePG
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PostgreSQL with pgvector for embeddings. vLLM GPU inference (Qwen3-32B,
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60% latency vs baseline).
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• Observability stack: Prometheus metrics, Grafana dashboards, Loki logs,
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Tempo traces, OpenTelemetry. 99.2% uptime via monitoring automation.
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• Kafka/Redpanda streaming. Temporal workflows for fault-tolerant jobs.
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Forgejo CI/CD with Docker registry. DinD runners for parallel builds.
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---
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ROYAL BANK OF CANADA (RBC)
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Lead Software Engineer
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Toronto, ON | Nov 2024 — May 2026
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Challenge & Solution:
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Deployments were manual and slow—teams blocked 2+ hours per release waiting
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for provisioning. Standardized on Terraform Cloud for idempotent IaC. Built
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Temporal workflows for multi-cloud orchestration with built-in retry logic
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and idempotency keys. Reduced deploy time from 2 hours to 20 minutes,
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achieved 99.2% automation.
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Drift Detection & Reconciliation:
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• Built Kubernetes CronJob (Golang) to continuously detect and reconcile
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Terraform state drift against actual infrastructure. Automatically
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detects divergence (network policies, security groups, storage) and
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triggers remediation without manual intervention.
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• Coordinated across 4 platform teams, unified 200+ microservices into
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single IaC standard. Cut onboarding time for 12 teams.
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Notifications & SLA:
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• Designed Slack notification service with Golang workers. Alerts on apply
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failures, drift detection, provisioning bottlenecks. Operators resolve
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issues in <5 minutes via notification-driven workflow.
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Stakeholder Alignment:
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• Led requirement gathering across 4 platform teams. Translated technical
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decisions for non-technical stakeholders. Secured buy-in for platform
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migration. Unblocked 3 stalled projects by disambiguating specs.
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Tech:
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• Golang, Kubernetes, Terraform Cloud, IaC, Distributed Systems
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• Slack API, multi-cloud orchestration, state drift reconciliation
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• Notification-driven operators, 99.2% automation
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---
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AMAZON WEB SERVICES (AWS)
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Senior Software Engineer (Step Functions)
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Seattle, WA | 2022 — 2024
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Challenge & Solution:
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Owned Distributed-Map from design doc to production launch across 57+
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regions. Under tight deadline, introduced separate state in Map vs new
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functions—simplified customer adoption. Built checkpoint recovery for
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mid-workflow failures so customers resume without full re-run.
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Distributed Systems Engineering:
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• Solved critical edge cases: race conditions in concurrent state updates,
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dependent service failures, message deduplication, exactly-once semantics
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across distributed workers.
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• Introduced JSON state input for larger payloads—unlocked new customer use
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cases (batch processing, ML model serving, data pipelines).
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Production Ownership & Reliability:
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• Full oncall ownership—built CloudWatch dashboards, wrote operational
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runbooks, debugged production issues live. Achieved sub-100ms P99 latency
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across 57+ regions and 20x burst traffic scaling.
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• Disaster recovery procedures and incident response. State management for
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failed/retried jobs.
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Tech:
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• Java, AWS Step Functions, DynamoDB state storage, gRPC, Distributed Systems
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• CloudWatch observability, ownership, disaster recovery, exactly-once delivery
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• 57+ regions, sub-100ms P99, 20x burst traffic
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---
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NETFLIX TITUS (Container Orchestration)
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Software Engineer Intern
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Los Gatos, CA | May — Aug 2019
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Challenge & Solution:
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Streamlined Personal Data Detection (PDD) to identify classified data
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exfiltration anomalies—achieved 97.8% accuracy with minimal false positives.
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Built fault-tolerant Golang connector for PDD integration with 28% p99
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latency improvement over legacy implementation.
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Compilation & Integration:
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• Re-integrated SmartRegex with CMake & C++ on Linux/Unix platforms.
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Achieved 5x faster deployment through automated build pipeline and
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dependency resolution.
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• Prevented classified data leakage across Netflix's distributed workload
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platform.
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Tech:
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• C++, CMake, Golang, Docker, pattern matching, fault tolerance
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• Build automation, 97.8% detection accuracy, 28% latency improvement
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---
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NAV CANADA (Air Traffic Control Systems)
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Summer Student
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Ottawa, ON | May — Aug 2018
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Challenge & Solution:
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Maintained enterprise CFPS web application in Agile development. Built
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Django NOTAMJ polls app to meet iteration goals. Improved deploy stability
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with Sonar code coverage analysis—reduced defect escape rate.
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Frontend & User Experience:
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• Created FWGS weather briefing interface with ReactJS for Air Traffic
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Control. Real-time meteorological data visualization for pilot briefings.
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• Deployed to Canadian airspace (50+ airports). Improved ATC
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decision-making with cleaner weather briefing UX.
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Tech:
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• ReactJS, Django, Agile methodology, Sonar code coverage
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• Weather data visualization, pilot decision support systems
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================================================================================
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TECHNICAL SKILLS
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================================================================================
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Languages:
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Golang, Java, Python, C++, JavaScript/TypeScript, SQL, Bash
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Cloud & Infrastructure:
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Kubernetes (Talos Linux, k3s, ArgoCD GitOps)
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Terraform (IaC, state management, drift detection)
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Docker, OpenShift, AWS (DynamoDB, Step Functions, CloudWatch)
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|
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Distributed Systems:
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||||||
Temporal workflows, Kafka/Redpanda streaming
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||||||
gRPC, message queuing, exactly-once semantics
|
|
||||||
State management, disaster recovery, idempotency
|
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|
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||||||
LLM & AI:
|
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||||||
vLLM (GPU inference, Qwen3-32B, 60% latency improvement)
|
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||||||
KServe orchestration, Ollama, TEI embeddings
|
|
||||||
Vector databases (pgvector), model serving
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|
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Observability & Monitoring:
|
|
||||||
Prometheus (metrics), Grafana (dashboards)
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||||||
Loki (log aggregation), Tempo (distributed tracing)
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|
||||||
OpenTelemetry, CloudWatch, alerting & runbooks
|
|
||||||
|
|
||||||
Networking & Security:
|
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||||||
Authentik OIDC SSO, Kubernetes RBAC
|
|
||||||
cert-manager TLS, SOPS encryption
|
|
||||||
Cloudflare Tunnel (zero-trust), network policies
|
|
||||||
PKI, service-to-service auth
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|
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Data & Storage:
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PostgreSQL (CloudNativePG, pgvector)
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DynamoDB, MinIO S3, Longhorn block storage
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Data modeling, exactly-once consumption
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CI/CD & DevOps:
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Forgejo Actions, GitHub Actions
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Docker container registry, Kustomize
|
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GitOps, declarative infrastructure
|
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================================================================================
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EDUCATION
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================================================================================
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University of Ottawa, Ottawa, Ontario
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Master of Science in Computer Science (Software Systems)
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2020 — 2021
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University of Ottawa, Ottawa, Ontario
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Bachelor of Science in Computer Science (Honours)
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2016 — 2020
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================================================================================
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-185
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\documentclass[letterpaper,11pt]{article}
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\usepackage{latexsym}
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\usepackage[empty]{fullpage}
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\usepackage{titlesec}
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\usepackage{marvosym}
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\usepackage[usenames,dvipsnames]{color}
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\usepackage{verbatim}
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\usepackage{enumitem}
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\usepackage[pdftex]{hyperref}
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\usepackage{fancyhdr}
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\pagestyle{fancy}
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\fancyhf{} % clear all header and footer fields
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\fancyfoot{}
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\renewcommand{\headrulewidth}{0pt}
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\renewcommand{\footrulewidth}{0pt}
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% Adjust margins
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\addtolength{\oddsidemargin}{-0.375in}
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\addtolength{\evensidemargin}{-0.375in}
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\addtolength{\textwidth}{1in}
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\addtolength{\topmargin}{-.5in}
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\addtolength{\textheight}{1.0in}
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\urlstyle{same}
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\raggedbottom
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\raggedright
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\setlength{\tabcolsep}{0in}
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% Sections formatting
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\titleformat{\section}{
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\vspace{-4pt}\scshape\raggedright\large
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}{}{0em}{}[\color{black}\titlerule \vspace{-5pt}]
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%-------------------------
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% Custom commands
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\newcommand{\resumeItem}[2]{
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\item\small{
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\textbf{#1}{: #2 \vspace{-2pt}}
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}
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}
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\newcommand{\resumeSubheading}[4]{
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\vspace{-1pt}\item
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\begin{tabular*}{0.97\textwidth}{l@{\extracolsep{\fill}}r}
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\textbf{#1} & #2 \\
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\textit{\small#3} & \textit{\small #4} \\
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\end{tabular*}\vspace{-5pt}
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}
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\newcommand{\resumeSubItem}[2]{\resumeItem{#1}{#2}\vspace{-4pt}}
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\renewcommand{\labelitemii}{$\circ$}
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\newcommand{\resumeSubHeadingListStart}{\begin{itemize}[leftmargin=*]}
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\newcommand{\resumeSubHeadingListEnd}{\end{itemize}}
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\newcommand{\resumeItemListStart}{\begin{itemize}}
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\newcommand{\resumeItemListEnd}{\end{itemize}\vspace{-5pt}}
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%-------------------------------------------
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%%%%%% CV STARTS HERE %%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\begin{document}
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%----------HEADING-----------------
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|
||||||
\begin{tabular*}{\textwidth}{l@{\extracolsep{\fill}}r}
|
|
||||||
\textbf{{\Large Rock Liang}} & Email : \href{mailto:[email protected]}{[email protected]}\\
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|
||||||
& Portfolio : \href{https://riotpiao.com}{riotpiao.com}\\
|
|
||||||
\end{tabular*}
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|
||||||
|
|
||||||
|
|
||||||
%-----------Professional Summary-----------------
|
|
||||||
\section{Professional Summary}
|
|
||||||
\resumeItemListStart
|
|
||||||
\resumeItem{Experience}
|
|
||||||
{6+ years building scalable infrastructure, backend systems, and LLM-powered applications. Expertise in Kubernetes orchestration, Infrastructure-as-Code (Terraform), distributed systems design, and cloud-native architecture at AWS scale.}
|
|
||||||
\resumeItem{Core Competencies}
|
|
||||||
{Production Kubernetes (Talos, GitOps/ArgoCD), Terraform IaC, AWS distributed systems, Golang backend services, observability (Prometheus/Grafana), message queuing (Kafka/Temporal workflows), GPU inference (vLLM), zero-trust networking (OIDC/RBAC).}
|
|
||||||
\resumeItem{Strengths}
|
|
||||||
{Owning systems end-to-end—from design doc through oncall. Building fault-tolerant platforms. Unblocking teams with clear technical communication. 99.2% automation mindset.}
|
|
||||||
|
|
||||||
\resumeItemListEnd
|
|
||||||
|
|
||||||
|
|
||||||
%-----------EXPERIENCE-----------------
|
|
||||||
\section{Experience}
|
|
||||||
\resumeSubHeadingListStart
|
|
||||||
|
|
||||||
\resumeSubheading
|
|
||||||
{Self-Hosted Production (riotpiao.com)}{Home Lab}
|
|
||||||
{DevOps / SRE / SDE}{May 2025 — Present}
|
|
||||||
|
|
||||||
\resumeItemListStart
|
|
||||||
\resumeItem{Challenge \& Solution}
|
|
||||||
{Built AWS from scratch at home on bare-metal Kubernetes—Talos Linux for secure OS, ArgoCD for GitOps pipeline automation, SOPS for encrypted secrets, cert-manager for PKI. Result: production-grade multi-tenant platform with Kafka, PostgreSQL, S3, GPU LLM inference, Temporal workflows in 4-node cluster.}
|
|
||||||
\resumeItem{System Design}
|
|
||||||
{Architected Authentik OIDC SSO with Kubernetes RBAC; Longhorn block storage + MinIO S3-compatible API; CloudNativePG with pgvector for embeddings; vLLM GPU inference (Qwen3-32B) with KServe orchestration. Tech: \textbf{Kubernetes, Talos, ArgoCD, Terraform, Authentik, Prometheus, Grafana, vLLM, Temporal, Kafka, PostgreSQL, Go}}
|
|
||||||
\resumeItem{Observability \& Operations}
|
|
||||||
{Implemented full observability stack: Prometheus metrics, Grafana dashboards, Loki log aggregation, Tempo traces, OpenTelemetry. 99.2\% uptime maintained across core services via monitoring automation and runbooks. Tech: \textbf{Prometheus, Grafana, Loki, Tempo, OpenTelemetry}}
|
|
||||||
\resumeItem{Deployment Pipeline}
|
|
||||||
{GitOps-driven Forgejo CI/CD with Docker container registry; DinD runners for parallel builds. Kustomize manifests + Terraform for declarative infrastructure. Tech: \textbf{Forgejo, Docker, Kustomize, Terraform}}
|
|
||||||
\resumeItemListEnd
|
|
||||||
|
|
||||||
\resumeSubheading
|
|
||||||
{Royal Bank of Canada (RBC)}{Toronto, ON}
|
|
||||||
{Lead Software Engineer}{Nov 2024 — May 2026}
|
|
||||||
\resumeItemListStart
|
|
||||||
\resumeItem{Challenge \& Solution}
|
|
||||||
{Deployments were manual, blocking teams 2+ hours per release. Standardized on Terraform Cloud for idempotent IaC; built Temporal workflows for multi-cloud orchestration with built-in retry logic and idempotency keys. Reduced deploy time from 2 hours to 20 minutes, achieved 99.2\% automation.}
|
|
||||||
\resumeItem{Drift Detection \& Reconciliation}
|
|
||||||
{Built Kubernetes CronJob (Golang) to continuously detect and reconcile Terraform state drift against actual infrastructure. Automatically detects divergence and triggers remediation without manual operator intervention. Tech: \textbf{Golang, Kubernetes, Terraform, IaC}}
|
|
||||||
\resumeItem{Slack Notifications \& SLA}
|
|
||||||
{Designed Slack notification service with Golang workers to alert on apply failures and drift detection. Operators resolve issues in \textless 5 minutes via notification-driven workflow. Coordinated across 12 platform teams—unified 200+ microservices into single IaC standard. Tech: \textbf{Golang, Slack API, Distributed Systems}}
|
|
||||||
\resumeItem{Stakeholder Alignment}
|
|
||||||
{Led requirement gathering across 4 platform teams; translated technical decisions for non-technical stakeholders; secured buy-in for platform migration. Unblocked 3 stalled projects by disambiguating specs.}
|
|
||||||
\resumeItemListEnd
|
|
||||||
|
|
||||||
\resumeSubheading
|
|
||||||
{Amazon Web Services (AWS)}{Seattle, WA}
|
|
||||||
{Senior Software Engineer (Step Functions)}{2022 — 2024}
|
|
||||||
\resumeItemListStart
|
|
||||||
\resumeItem{Challenge \& Solution}
|
|
||||||
{Owned Distributed-Map from design doc to production launch across 57+ regions. Under tight deadline, introduced separate state in Map vs new functions—simplified customer adoption. Built checkpoint recovery for mid-workflow failures so customers resume without full re-run.}
|
|
||||||
\resumeItem{Distributed Systems Engineering}
|
|
||||||
{Solved critical edge cases: race conditions in concurrent updates, dependent service failures, message deduplication, exactly-once semantics. Introduced JSON state input for larger payloads—unlocked new customer use cases. Tech: \textbf{Java, DynamoDB, gRPC, Distributed Systems}}
|
|
||||||
\resumeItem{Production Ownership \& Reliability}
|
|
||||||
{Full oncall ownership—built CloudWatch dashboards, wrote operational runbooks, debugged production issues live. Achieved sub-100ms P99 latency across 57+ regions and 20x burst traffic scaling. Disaster recovery and incident response procedures. Tech: \textbf{Java, AWS, CloudWatch, Observability, Ownership}}
|
|
||||||
\resumeItemListEnd
|
|
||||||
|
|
||||||
\resumeSubheading
|
|
||||||
{Netflix Titus (Container Orchestration)}{Los Gatos, CA}
|
|
||||||
{Software Engineer Intern}{May — Aug 2019}
|
|
||||||
\resumeItemListStart
|
|
||||||
\resumeItem{Challenge \& Solution}
|
|
||||||
{Streamlined Personal Data Detection (PDD) to identify classified data exfiltration anomalies—achieved 97.8\% accuracy with minimal false positives. Built fault-tolerant Golang connector for PDD integration with 28\% p99 latency improvement over legacy implementation.}
|
|
||||||
\resumeItem{Compilation \& Integration}
|
|
||||||
{Re-integrated SmartRegex with CMake \& C++ on Linux/Unix platforms. Achieved 5x faster deployment through automated build pipeline and dependency resolution. Tech: \textbf{C++, CMake, Golang, Docker}}
|
|
||||||
\resumeItem{Impact}
|
|
||||||
{Prevented classified data leakage across Netflix's distributed workload platform. Improved SLA for data governance compliance teams.}
|
|
||||||
\resumeItemListEnd
|
|
||||||
|
|
||||||
\resumeSubheading
|
|
||||||
{NAV Canada (Air Traffic Control Systems)}{Ottawa, ON}
|
|
||||||
{Summer Student}{May — Aug 2018}
|
|
||||||
\resumeItemListStart
|
|
||||||
\resumeItem{Challenge \& Solution}
|
|
||||||
{Maintained enterprise CFPS web application in Agile development. Built Django NOTAMJ polls app to meet iteration goals. Improved deploy stability with Sonar code coverage analysis—reduced defect escape rate.}
|
|
||||||
\resumeItem{Frontend \& User Experience}
|
|
||||||
{Created FWGS weather briefing interface with ReactJS for Air Traffic Control. Real-time meteorological data visualization for pilot briefings. Tech: \textbf{ReactJS, Django, Agile, Sonar}}
|
|
||||||
\resumeItem{Impact}
|
|
||||||
{Improved ATC decision-making with cleaner weather briefing UX. Deployed to Canadian airspace (50+ airports).}
|
|
||||||
\resumeItemListEnd
|
|
||||||
|
|
||||||
\resumeSubHeadingListEnd
|
|
||||||
|
|
||||||
%--------PROGRAMMING SKILLS------------
|
|
||||||
\section{Technical Skills}
|
|
||||||
\resumeSubHeadingListStart
|
|
||||||
\item{\textbf{Languages}{: Golang, Java, Python, C++, JavaScript/TypeScript, SQL}}
|
|
||||||
\item{\textbf{Cloud \& Infrastructure}{: Kubernetes (Talos Linux, k3s), Terraform, Docker, ArgoCD, AWS (DynamoDB, Step Functions, CloudWatch), OpenShift}}
|
|
||||||
\item{\textbf{Distributed Systems}{: Temporal workflows, Kafka/Redpanda, gRPC, message queuing, exactly-once semantics, state management, disaster recovery}}
|
|
||||||
\item{\textbf{LLM \& AI}{: vLLM (GPU inference), KServe, Ollama, TEI embeddings, vector databases (pgvector)}}
|
|
||||||
\item{\textbf{Observability}{: Prometheus, Grafana, Loki, Tempo, OpenTelemetry, CloudWatch, alerting \& runbooks}}
|
|
||||||
\item{\textbf{Networking \& Security}{: Authentik OIDC SSO, cert-manager TLS, RBAC, SOPS encryption, Cloudflare Tunnel (zero-trust), network policies}}
|
|
||||||
\item{\textbf{Data}{: PostgreSQL, DynamoDB, MinIO S3, Longhorn storage, pgvector}}
|
|
||||||
\item{\textbf{CI/CD}{: Forgejo Actions, GitHub Actions, Docker registry, Kustomize, GitOps}}
|
|
||||||
\resumeSubHeadingListEnd
|
|
||||||
|
|
||||||
%-----------EDUCATION-----------------
|
|
||||||
\section{Education}
|
|
||||||
\resumeSubHeadingListStart
|
|
||||||
\resumeSubheading
|
|
||||||
{University of Ottawa}{Ottawa, Ontario}
|
|
||||||
{Master of Science in Computer Science (Software Systems)}{2020 — 2021}
|
|
||||||
\resumeSubheading
|
|
||||||
{University of Ottawa}{Ottawa, Ontario}
|
|
||||||
{Bachelor of Science in Computer Science (Honours)}{2016 — 2020}
|
|
||||||
\resumeSubHeadingListEnd
|
|
||||||
|
|
||||||
%-------------------------------------------
|
|
||||||
\end{document}
|
|
||||||
Reference in New Issue
Block a user