Software Engineer

Sai Phanindra

Platform Engineering - Backend Systems

Open to conversations

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.

Email me

Stack

Backend: Python, Go, TypeScript, Node.js, FastAPI, Gin, gRPC
Platform: AWS, Kubernetes, CI/CD, Docker, Terraform, Helm, Backstage
Data: PostgreSQL, Apache Kafka, MongoDB, Redis, RabbitMQ, ClickHouse, Snowflake
Observability: OpenTelemetry, Splunk, New Relic, 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.

Latest Writing

All writing

Aug 23, 2026 10 min

Read

How I gave my AI tools a shared memory using MCP and pgvector

SessionVault is a hosted MCP server that lets Claude and Cursor share the same session context. Encrypted at rest, tenant-isolated by Postgres RLS, searchable by pgvector.

Feb 28, 2026