Anindya Chowdhury
Building things. Documenting the rest.
Experimenting with things — backend systems, mushroom farms, possibly a mountain homestay. Based in Kolkata 🇮🇳. Shooting some of it at @via.mrk. Somewhere between engineer and early-stage founder. Still losing at Valorant.
Now
At Videoverse, building backend infrastructure for sports media. Exploring two things on the side — mushroom farming and an early idea for a mountain homestay. Both are real, neither is a business yet.
Documenting the process at @via.mrk on Instagram. Cinematic, not tutorial.
Projects
All projectsWanted to see how far multi-agent LangGraph would go on Cloudflare's full stack in a weekend. Upload a photo of your food — three agents (Vision, Roast, Battle) argue over it and generate a shareable card.
Cloudflare Workers · Cloudflare Pages · Cloudflare D1 · Cloudflare R2 · LangGraph · Gemini
Part of a larger news aggregation system. Pulls Indian news from YAML-configured providers, enriches articles with goquery, deduplicates via BoltDB, and publishes downstream to SQS, SNS, or Pub·Sub.
Go · AWS SQS · AWS SNS · GCP Pub/Sub
Writing
All postsA short reflection on Agency, Consistency, and Ego — a simple framework that’s helped me shape goals and momentum, and might do the same for you.
Step-by-step guide to deploying a Golang backend as an Azure Function using a custom runtime.
Experience
Full history
The main thing I built is a metadata orchestration layer that normalises AI-generated data across partner integrations — 150K+ events a day at peak. Alongside that: StreamForge, an HLS playlist assembly service that abstracts across heterogeneous MAM storage providers; a match schedule ingestion pipeline covering 100+ tournaments built from scratch; and a live dual-write migration syncing MongoDB to PostgreSQL via SNS at sub-100ms propagation. I own P0/P1 incidents on partner-facing systems and led the monitoring migration from Datadog to Last9 + PagerDuty.
NestJS, PostgreSQL, Redis, SNS/SQS, Lambda, MongoDB.
Built a webhook-based calendar sync for Google and Outlook that fed AI-generated post-call summaries into Google Docs, ClickUp, Notion, and HubSpot — drove a ~25% engagement lift. Also shipped a Telegram voice chatbot running Pygmalion-7B through ElevenLabs, served via AWS Lambda behind an ELB.
Python (Django), MariaDB, Redis, Supabase, AWS Lambda/EBS/SQS, React, Slate.js.
Reading
Everything I'm readingReading this to understand what talking to potential customers actually looks like — something that barely comes up when you're on the engineering side. The way it reframes what counts as a useful conversation has already changed how I ask questions.
Y'all should read this book even if you do not like his tweets.
Building something interesting? I'm around.
anindya.chowdhury@proton.me