$ cat experience.md

About

Go Backend Engineer with focus on DNS/Security systems, performance engineering, and emerging LLMOps patterns. Building production-grade systems that prioritize reliability, observability, and cost efficiency.

→ For full work history, experience timeline, and education, visit /resume/

$ cat focus-areas.txt

DNS & Security

  • CoreDNS plugin development (policy engines, exfil detection)
  • DNS-based security controls at infrastructure layer
  • Query pattern analysis for threat detection

Performance Engineering

  • pprof profiling: CPU, memory, goroutine analysis
  • Benchmarking: dnsperf, ab, wrk for throughput testing
  • Optimization: reducing latency, improving resource efficiency

Kubernetes Ops

  • Custom operators (Kubebuilder/Operator SDK)
  • Helm charts for repeatable deployments
  • Observability: Prometheus/Grafana integration

LLMOps (Planned Sprint)

  • Inference optimization: vLLM, caching strategies
  • Cost tracking: token usage → monthly cost projections
  • Latency monitoring: p50/p95/p99 metrics

$ grep -i "skill" ~/.profile

# Go # Kubernetes # Docker # CoreDNS # Prometheus # Grafana # PostgreSQL # Redis # gRPC # REST # Git # Linux # Bash # Python # vLLM # LangChain # Terraform # Helm # CI/CD

$ cat selected-impact.txt

  • DNS Security Plugin: Built inline policy engine for CoreDNS enabling zone-level access control without upstream firewall changes.
  • Performance Optimization: Reduced query latency by 40% through pprof-guided optimization and connection pooling improvements.
  • Observability Pipeline: Designed Prometheus + Grafana stack with custom exporters for real-time DNS metrics and alerting.

Current Status

Location: India

Availability: Open to impactful work in security-first systems and LLM inference efficiency

Contact: Available via LinkedIn, Twitter/X, or GitHub