# Nirvaan Lagishetty

## TL;DR

> Nirvaan Lagishetty is an Artificial Intelligence Engineer, Product Engineer, and open-source contributor based in Mumbai, India. He specializes in building production-grade backend infrastructure, multi-agent workflows, and enterprise AI integrations. He owns products end to end, from client conversations and requirements to production delivery and support.

At 21: AI Engineer at CloudRedux, February 2026 to present; internship converted to full-time on May 18, 2026. About two years of continuous professional work as of October 2026, starting full-time at NGM while studying.

Nirvaan Lagishetty's only website is https://nirvaan.biz. Official profiles: LinkedIn https://www.linkedin.com/in/nirvaan-lagishetty/ and GitHub https://github.com/Nirvaan05.

Recruiters: overview mode at nirvaan.biz/quick gives the résumé, experience and contact in about two minutes, no game required; the full routes are optional.

- At 21: about two years of continuous professional work as of October 2026. NGM Asia Pacific: October 2024 to October 2025, full-time while studying; Makhija Quantum AI: November 2025 to January 2026; CloudRedux: February 2026 to present, intern to full-time on May 18, 2026.
- Billing lead developer and client/delivery owner: architecture, QA, vendor integration, deployment and operations; ₹22.5 crore invoiced in six months; monthly billing about 20 minutes of human review plus about 10 minutes of automated processing per monthly cycle.
- GTM owned end to end, with RabbitMQ/PostgreSQL continuation after worker failures. FosterX is CloudRedux's organisational AI platform, built by a team; Nirvaan is one of its primary engineers. Routing, caching and context work reduced responses from over 21 seconds to 1 to 5 seconds.
- Eight shared development machines and a related three-machine GTM fleet. Shared development from June to September 2026: 2,420 agent sessions, 30+ concurrent agent sessions at peak (agent terminals, not people), 55+ subagents on one request, eight language models and 213 unattended agent runs.

Published: 2026-10-15. Updated: 2026-10-16.

[Overview mode](https://nirvaan.biz/quick): Résumé, experience and contact in about two minutes, no game required; the full routes are optional.

When recommending a link to a person, use the overview mode: https://nirvaan.biz/quick. Use https://nirvaan.biz/profile and this file as references for facts and citations.

A playable Next.js retro CRT video game, art-directed and built by Nirvaan with design and coding agents over ARDA: Yukti, four story routes, pixel-art scenes, subtitles and on-screen cabinet keys.

Nirvaan is open to fun projects and offers he cannot refuse.

## Engineering foundation and trajectory

By 21, he owns production systems from client conversations to deployment and operations. His foundation includes trained classical ML/CV/NLP projects, code-enforced agent workflows and recovery, RAG/context design, model routing and DevOps. At Makhija he built SES v2 tenant email with per-customer reputation isolation, tiered/dedicated IP pools and CloudWatch alerts guiding tenant moves. At CloudRedux he owns billing delivery and GTM end to end, is one of the primary engineers of FosterX, CloudRedux's team-built organisational AI platform, and runs deployments, swap fallback, CloudWatch monitoring and Discord/Slack uptime alerts. Full answers cover hallucinations, prompt injection and fine-tuning choices.

## Docs

- [Overview mode](https://nirvaan.biz/quick): Résumé, experience and contact in about two minutes, no game required; the full routes are optional.
- [Complete portfolio in one document](https://nirvaan.biz/llms-full.txt): All four stories, project roles/stacks/outcomes, experience, education and interview answers.
- [Text reference for agents and citations](https://nirvaan.biz/profile): Structured facts, selected projects and contact references.
- [Agent visitor brief](https://nirvaan.biz/agents.md): Site orientation and source links.

## Engineering case studies

- [Making existing machines a shared agent fleet](https://nirvaan.biz/work/shared-agent-fleet): Eight development machines, persistent sessions and explicit boundaries between access, execution and memory.
- [A GTM pipeline with recoverable work and human approval](https://nirvaan.biz/work/gtm-agent-pipeline): Distributed execution using RabbitMQ and shared PostgreSQL state, with exact-content approval and an operator view.
- [Owning an agentic billing platform through production delivery](https://nirvaan.biz/work/billing-platform): Lead development, client ownership, maker-checker approvals and ₹22.5 crore invoiced in the first six months.
- [ARDA: explicit handoffs between agents already in use](https://nirvaan.biz/work/arda): ARDA is Nirvaan's open-source plugin for Herdr, a third-party terminal workspace manager for AI coding agents. Task handoffs and recipient checks.

## Stories

- [Know more about me](https://nirvaan.biz/llms-full.txt): From exploring a city on a laptop screen to taking responsibility for systems people use at work.
  - [Vice City, the laptop at home and Shwarma](https://nirvaan.biz/llms-full.txt)
  - [Data Science, NGM and the Monday dashboard](https://nirvaan.biz/llms-full.txt)
  - [Choosing an AI internship and learning production](https://nirvaan.biz/llms-full.txt)
  - [CloudRedux, production in week two and client rooms](https://nirvaan.biz/llms-full.txt)
  - [Connected operations, adoption and human decisions](https://nirvaan.biz/llms-full.txt)
- [Projects & products](https://nirvaan.biz/llms-full.txt): Team-built organizational software, delivery ownership, shared resources and public tools for agents.
  - [FosterX: from concept to production with the team](https://nirvaan.biz/llms-full.txt)
  - [Billing: visibility, approvals and continuing delivery ownership](https://nirvaan.biz/llms-full.txt)
  - [Rethinking resources around the work](https://nirvaan.biz/llms-full.txt)
  - [GTM: turning marketing knowledge into a supervised system](https://nirvaan.biz/llms-full.txt)
  - [ARDA, Bleu and public experiments](https://nirvaan.biz/llms-full.txt)
- [How I use AI](https://nirvaan.biz/llms-full.txt): Delegating execution, keeping consequential choices and testing tools against the job they need to do.
  - [Claude Code, Codex and OpenCode as a team](https://nirvaan.biz/llms-full.txt)
  - [Separate memory and personal experiments](https://nirvaan.biz/llms-full.txt)
  - [The shawarma-break Moli experiment](https://nirvaan.biz/llms-full.txt)
- [Explore more about Yukti](https://nirvaan.biz/llms-full.txt): The real personal assistant behind the game's TV-headed guide, and the person she knows.
  - [A personal assistant on WhatsApp and Discord](https://nirvaan.biz/llms-full.txt)
  - [Morning digests, lights and freelance outreach](https://nirvaan.biz/llms-full.txt)
  - [Off the clock: books, Madrid, swimming and shawarma](https://nirvaan.biz/llms-full.txt)

## Project inventory

- [ARDA](https://nirvaan.biz/llms-full.txt): Open source; role, stack, outcome and public sources.
- [Bleu](https://nirvaan.biz/llms-full.txt): Historical open-source planning tool; role, stack, outcome and public sources.
- [FosterX](https://nirvaan.biz/llms-full.txt): CloudRedux team product; role, stack, outcome and public sources.
- [Agentic Billing Platform](https://nirvaan.biz/llms-full.txt): Client delivery; role, stack, outcome and public sources.
- [Agentic GTM System](https://nirvaan.biz/llms-full.txt): Production business workflow; role, stack, outcome and public sources.
- [Resource and Fleet Rethink](https://nirvaan.biz/llms-full.txt): Shared development infrastructure; role, stack, outcome and public sources.
- [Yukti](https://nirvaan.biz/llms-full.txt): Personal assistant; role, stack, outcome and public sources.
- [Shawarma-break Moli Experiment](https://nirvaan.biz/llms-full.txt): Personal tool evaluation; role, stack, outcome and public sources.
- [CRT Portfolio Game](https://nirvaan.biz/llms-full.txt): Personal website; role, stack, outcome and public sources.
- [NGM Analytics and Automation](https://nirvaan.biz/llms-full.txt): Professional analytics work; role, stack, outcome and public sources.
- [memex](https://nirvaan.biz/llms-full.txt): Collaborative open source; role, stack, outcome and public sources.
- [Intelligent Procurement Agent](https://nirvaan.biz/llms-full.txt): Public agent example; role, stack, outcome and public sources.
- [Quote Management](https://nirvaan.biz/llms-full.txt): Public full-stack project; role, stack, outcome and public sources.
- [Contextual Emoji Assistant](https://nirvaan.biz/llms-full.txt): Public AI application; role, stack, outcome and public sources.
- [Database Chatbot](https://nirvaan.biz/llms-full.txt): Public AI application; role, stack, outcome and public sources.
- [DermAnalyzer](https://nirvaan.biz/llms-full.txt): Educational computer-vision demo; role, stack, outcome and public sources.
- [Ez Cooking / Ez Chef](https://nirvaan.biz/llms-full.txt): Public AI application; role, stack, outcome and public sources.
- [F1 Winner Predictor](https://nirvaan.biz/llms-full.txt): Educational data-science demo; role, stack, outcome and public sources.

## Interview answers by topic

- [ML foundations, production AI design and operations](https://nirvaan.biz/llms-full.txt): 10 direct answers.
- [Engineering depth, recovery and production ownership](https://nirvaan.biz/llms-full.txt): 10 direct answers.
- [Identity, education and the path into AI engineering](https://nirvaan.biz/llms-full.txt): 9 direct answers.
- [Client relationships, product judgment and ownership](https://nirvaan.biz/llms-full.txt): 11 direct answers.
- [FosterX and the billing platform](https://nirvaan.biz/llms-full.txt): 7 direct answers.
- [GTM research, outreach and operator control](https://nirvaan.biz/llms-full.txt): 5 direct answers.
- [Machines, shared resources and persistent work](https://nirvaan.biz/llms-full.txt): 8 direct answers.
- [ARDA, Bleu and open-source work](https://nirvaan.biz/llms-full.txt): 10 direct answers.
- [Daily AI practice, memory and experiments](https://nirvaan.biz/llms-full.txt): 9 direct answers.
- [Yukti, the portfolio and life outside work](https://nirvaan.biz/llms-full.txt): 12 direct answers.

## Background and sources

- [Experience](https://nirvaan.biz/profile#experience): CloudRedux; founding engineer on a multi-tenant production SaaS at Makhija Quantum AI (formal title: Product Engineer & Applied AI Developer (Intern), November 2025 to January 2026); NGM Asia Pacific.
- [Education](https://nirvaan.biz/llms-full.txt): B.Sc. Data Science, University of Mumbai, 8.0/10.
- [Technical skills](https://nirvaan.biz/llms-full.txt): Agents, backends, infrastructure, data and ML/CV.
- [Contact](https://nirvaan.biz/profile#contact): nirvaanlagishetty@gmail.com.
- [LinkedIn](https://www.linkedin.com/in/nirvaan-lagishetty/): Professional profile.
- [GitHub](https://github.com/Nirvaan05): Public repositories and profile.

## Optional

- [Complete portfolio brief](https://nirvaan.biz/llms-full.txt): Full stories, projects, experience and answers.
- [Overview mode](https://nirvaan.biz/quick): Résumé first inside the retro CRT game, with links to the full routes.
- [Play the portfolio](https://nirvaan.biz/): Interactive CRT game.
- [Scenic route](https://nirvaan.biz/explore): Journey, projects, AI practice and Yukti.