Step-by-step guide to deploying a Golang backend as an Azure Function using a custom runtime.
Anindya Chowdhury
Software Engineer | Scaling Systems & Existential Dread
নমস্কার / Namaste 🌍
Based out of Kolkata 🇮🇳, I build backend systems and tinker with side projects that spark my curiosity. Outside work, I’m usually watching anime, catching up on manhwas, playing (and losing) Valorant 🎮, or going down rabbit holes on history and politics.
Writing
View all postsHow to configure a custom domain purchased from Namecheap with Azure Static Web Apps.
Projects
View all projectsIndiclang Fraud Shield is a lightweight, multilingual scam detection assistant for WhatsApp and Telegram. Built for AI in Action Hackathon.
Go-based Telegram bot that simplifies file conversions, including audio and image processing. Built with FFmpeg, RabbitMQ and PostgreSQL for efficient handling.
Experience
View full résumé
- Architected a scalable API platform to facilitate seamless partner integration, including a dynamic metadata distribution system. This event-driven solution enables real-time AI and datafeed metadata delivery, fostering partner innovation.
- Contributed to the development of key platform integrations by helping scaffold a new microservice and implementing integrations for AWS, Slack, OneDrive, Droxpbox etc, for video content publishing, improving platform interoperability and supporting strategic partnerships.
- Assisted in structuring on-call and RCA processes as the first on-call engineer, helping reduce live incidents by 80% within a quarter and improving resolution times.
- Played a role in the Datafeed service team, integrating StatsPerform to enhance metadata capabilities and enable real-time data processing.
- Worked closely with the frontend team to refine critical product UI pages, improving user experience and providing mentorship to junior engineers.

- Implemented real-time calendar sync via webhooks, ensuring accurate Google and Outlook event tracking within the platform.
- Developed an AI-powered chatbot with LLM models (Pygmalion-7B, Mythalion-13B) using microservice architecture, implementing message polling, queue-based processing with SQS.
- Built integrations with Google Docs, ClickUp, HubSpot, and Notion, enabling automated AI-generated meeting summary publishing.
- Revamped the product’s core page with a Google Calendar-like UI, improving meeting and note accessibility, and built interactive features like 'Year in Review' and guest mode for live note editing.
Reading List
View all books & articlesClean Architecture
Y'all should read this book even if you do not like his tweets.
The Age of Surveillance Capitalism
A lot of the points now might feel like public knowledge, but this book was one of the first to systematically analyze how big tech companies manipulate personal data for profit. For better or worse this information is going to shape your thoughts on privacy and the digital economy.