AI & Data Engineer · NY / NJ
I build AI systems that turn messy data into decisions people can actually trust.
Engineer by trade — but I care less about the technology itself than about pointing it at things that make work, and life, a little more human.
01 The short version
I'm Kiru — a data and AI engineer at McKinsey & Company, with about five years spent making organizational data usable.
My work is the part most people never see: the pipelines and systems that move information from messy source to something a team can actually decide with. About five years in, I've gotten good at the unglamorous engineering that everything else quietly depends on.
I'm based in the New York / New Jersey area, and most weekends you'll find me somewhere near a trailhead. I'm less interested in technology for its own sake than in what it lets people do.
02 What I'm good at
Pipelines that hold
The data infrastructure that moves information reliably from raw and messy to clean and usable — the plumbing the whole house runs on.
AI that ships
Taking workflows from "interesting demo" to something that runs in production and earns its keep — models and data turned into tools teams actually use.
A translator in the room
I sit between the business question and the engineering answer and speak both. Half the value is making the technical legible to the people who decide.
03 How I think
The best engineers are also good at the questions that don't have clean answers.
Outside the work, I think a lot about balance — between speed and care, ambition and meaning, the things you can measure and the things that resist it. I read widely, walk often, and try to keep the technical work pointed somewhere worth going. It isn't a separate hobby from the engineering; it's the part that decides what the engineering is for.
04 Currently building
I'm in the early days of building in public — small experiments where AI meets the things I'm curious about. The list is short and honest. It grows from here.
First experiments in flight
Small builds where AI meets the questions I keep circling — shipping to GitHub as they land, starting this season.
Reserved for the next map
This slot fills as the work does. I'd rather show you two honest projects than ten hollow ones.
More landing here as I ship. Watch the GitHub.
05 Two doors
If you're hiring
I'm open to conversations about roles where I get to build AI systems that actually matter to the people using them. Tell me what you're solving.
Reach out →If you want to talk shop
Book a short chat. Happy to pressure-test an approach, vet an idea, or just trade notes on getting AI from demo to done.
Book a chat →