Presentation
My core areas:
- Kubernetes production readiness audits
- EKS/GKE troubleshooting
- Helm chart installation and upgrades
- Ingress NGINX and Traefik validation
- Prometheus, Grafana, Alertmanager, Loki setup
- Cluster Autoscaler and Karpenter checks
- Kubernetes cost optimization
- Add-on readiness and end-to-end testing
I focus on practical outcomes: stable workloads, safer upgrades, clear monitoring, reliable ingress, and documented runbooks.
Portfolio
Offered services
Background
documents); built automated test scenarios, version-aware indexing, CI quality gates, and an embeddable Go module con-
sumed by the platform’s upgrade workflow.
• Data Ingestion Pipelines (Go): Built a concurrent pipeline scraping and structuring release documentation (GitHub re-
leases, HTML, markdown) across 50+ open-source projects with worker pools, adaptive rate limiting, version-pattern extrac-
tion, and automated PR workflows.
• LLM-Powered Curation (Python): Built multi-agent AI pipelines for automated changelog classification with confidence-
based auto-approval, human-in-the-loop review queues, and multi-model orchestration using Temporal durable workflows.
• Agentic Automation (Python): Designed a Temporal-orchestrated AI-agent system using a feedback-loop architecture that
autonomously detects upstream ecosystem changes and propagates updates to production maps for 100+ addons via
GitHub App PR automation.
• Built the Kubernetes compatibility & risk engine: version-incompatibility signatures and EKS/GKE/AKS end-of-life maps
powering automated upgrade-safety detection across managed Kubernetes services.
• Authored multi-stage upgrade templates for CNCF projects (service mesh, GitOps, ingress controllers). Built Knowledge-
Graph ETL into Postgres, a centralized metadata service, and AWS CDK infrastructure with CI/CD.
• On-call: triaged production incidents, root-cause analysis, coordinated c

