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[01]

Armaan Irani.

Intelligence, engineered into the product.

I'm Armaan, an AI engineer in Pune. I came to this through mathematics: a B.Sc. here in Pune, then a master's in Data Science and AI at the University of Liverpool, where I still work as a machine learning engineer on a model that finds the direction of a radiation source from a single sensor.

Today I build AI systems for real people. At Script Lanes, a medical e-learning platform that turns handwritten notes into study material, with a vision model in front and a retrieval chatbot behind it. At Nextoar, agents that research and write outreach, and computer vision for an industrial floor assistant. On my own, whatever needs an agent, a retrieval system or an automation.

I care about the seams, the places where a confident system meets a person, and I care about type nearly as much as tokens. Everything I make ships with evals and tracing, so we know it works before anyone has to trust it.

Based
Pune, India
Local time
Right now
Learning Fusion 360 and 3D printing.

Now — updated Oct 2026

Building
Small parts I design in Fusion 360 and 3D print.
Learning
Fusion 360 and 3D printing, and German on the side.
Reading
Thus Spoke Zarathustra, Friedrich Nietzsche.

Pune · 18.52° N, 73.85° E · IST +05:30

  • Multi-agent systems
  • RAG workflows
  • LLM evaluation
  • Observability
  • Computer vision
  • Python
  • TypeScript
  • PyTorch
  • LangGraph
  • FastAPI
  • Postgres
  • AWS
  • Docker
  • Next.js
[02]What I work on

Things I keep coming back to.

[03]What I've worked on

Some of it, with the decisions written down.

[04]How I work

Slowly at first, then all at once.

1

Listen

I start by understanding the workflow and the people in it. What happens today, where it hurts, what 'working' would actually look like. Usually one honest conversation is enough to know whether it is worth building.

2

Sketch

Architecture on one page, interface sketches on another, and an evaluation plan before any prompt is written. Every decision gets a line about its tradeoff so we can revisit it later without arguing from memory.

3

Build

Short iterations, working software from the first week, evals running on every change. Progress shows up in a staging environment, not a slide deck.

4

Keep tuning

Launch with monitoring, cost tracking and a feedback loop, then improve on real usage. The first version is never the last, and I would rather be around for the second.

[05]Writing

Notes from building AI products.

[06]About

Mathematician by training, engineer by habit.

Armaan Irani

Armaan Irani — Pune

I came to AI from mathematics and ML research, which is why the unglamorous parts interest me most: evaluation, latency, cost, the empty state, the error message. A model is a component. The product is the thing.

Outside of work I'm learning German, reading Nietzsche's Thus Spoke Zarathustra and learning 3D printing. I care about type nearly as much as tokens, and it shows in what I make. It should.

Download resume
2+ yrsBuilding ML and AI systems professionally
3Teams I build AI for right now
6+AI systems running in production
2Degrees: Mathematics, Data Science & AI
[07] Contact

Want to talk? Say hello.

A project, a question, or just to compare notes. I read everything and write back within a couple of days.