Sai Phanindra
Software Engineer
Platform Engineering - Backend Systems
India
Learning:AI Infra & eBPF
I work on backend services and the platforms they run on. APIs, CI, and the infrastructure behind multi-tenant SaaS. I write about sockets, TLS, and Postgres when I want to understand a system from the wire up.
Stack
Languages & Backend
Python
Go
TypeScript
Node.js
FastAPI
Gin
gRPC
Cloud & Platform
AWS
Docker
Kubernetes
Terraform
Helm
CI/CD
Backstage
Data & Messaging
PostgreSQL
MongoDB
Redis
Apache Kafka
RabbitMQ
ClickHouse
Snowflake
Observability & Reliability
Splunk
New Relic
OpenTelemetry
Prometheus
Grafana
Work
Celigo
Golden path from GitHub through Jenkins, ArgoCD, and Kubernetes. New services stop waiting on a platform ticket.
250 engineers can spin up LocalStack and Pub/Sub themselves. That used to be a ticket. Covers 70+ microservices.
During a monolith-to-microservices split, correlated infra spikes with Splunk and found 45 production issues.
OSV audits open remediations across 250+ services and 14 shared packages - Node.js, Rust, and Python.
An internal workflow that turns API docs into integration scaffolding. Used on 100+ connector releases.
Browser automation that rewrites selectors when the DOM moves. 99.9% resilience on data-ingestion pipelines.
Distributed test coverage went from 10% to 70% by putting event-driven checks in the CI pipeline.
Slack and Zendesk triage with an LLM. Cut manual incident routing by about 40%.
Fixed flaky distributed test suites so the build stopped lying.
Projects
All of them
pg_vitals
A live Postgres TUI so I could stop bouncing between psql and three dashboards.
PythonTextualpsycopg 3+5
SessionVault
Shared memory for Cursor and Claude so I stop re-explaining the same repo.
TypeScriptMCPNode.js+3
SafeStream
YouTube live-chat moderation I did not want to do by hand.
Node.jsElectronLangGraph+3