Backend engineer based in India 🇮🇳. I learn by building production-grade systems end to end — writing the service, containerizing it, wiring the CI/CD, deploying it, load-testing it, and keeping it observable. Right now I'm pushing deeper into distributed systems, platform / SRE, and AI infrastructure.

I contribute to the infrastructure I run. Merged upstream:

• Grafana Mimir — store-gateway leaked one TCP connection per get_range because loadChunks closed the bucket range reader without draining it, so net/http discarded the connection instead of pooling it. Root-caused from a user's connection-exhaustion report and fixed by draining before close.
• Traefik — documented the Redis keyspace-notifications requirement that silently breaks the Redis provider when unset.

Currently open across KubeRay, Argo CD, KEDA, Envoy Gateway and Traefik — deprecation cleanups, a singleflight fix for concurrent auth-token lookups, circuit-breaker metrics, and an ingress-nginx annotation-translation bug.

chat-go — real-time chat in Go. WebSocket gateway with Redis pub/sub fan-out, Kafka as the durable log feeding three independent consumer groups (history, pgvector search indexing, local-LLM RAG bot), Postgres + pgvector, and streaming catch-up summaries over the socket. Includes a hardening write-up and a documented scaling limit I left in deliberately.

news-feed-go — production-grade news feed in Go: auth, post CRUD, a follow graph, hybrid push/pull fan-out, ranking, Redis cache-aside, pgvector semantic search, notifications and full observability. Built as a real system rather than a toy MVP.

StudentSystemGo — a Go REST API layered all the way up to production as a system-design playground:

• Multi-stage Docker build · GitHub Actions CI/CD to AWS EC2, later redeployed on K3s
• Nginx load balancer across multiple app instances with circuit breaking
• MySQL primary + replica with read/write split · Redis rate limiting + cache-aside
• S3 + CloudFront media storage provisioned with Terraform
• RabbitMQ worker queue · Prometheus metrics · k6 load tests
• Deep-dive docs covering architecture, deployment, observability & load testing

• GitOps homelab on K3s + ArgoCD — moving my self-hosted services to declarative, Git-driven deployments.
• Distributed systems via MIT 6.5840 — MapReduce ✅ · KV server + lock ✅ · Raft in progress.
• chat-go, next phase — presence and multi-gateway coordination, then WebRTC for voice/video.

Backend today → distributed systems and platform / SRE. Same throughline everywhere: own systems end-to-end, and bring that rigor to the infrastructure that runs AI. Next on the roadmap — Raft carried through to a working consensus implementation, and an internal developer platform built around a credential broker and a blast-radius engine rather than a service catalogue.

Languages

Backend & Data

Infra & DevOps

Observability & Testing

• 💼 LinkedIn — omkar-shendge
• 📧 Email — omkarshendge619@gmail.com
• 🐦 X / Twitter — @p0pobeast