data science & applied AI

I build the systems that make models useful.

Applied AI engineer, IITM alum. I work the whole line, from data in to model trained to service shipped, and write about what actually held up in production.

$mail mownetharan@gmail.com
Bengaluru, India · open to interesting problems  ·  read the blog →
selected workfour places

ITO Health, PBC→

Health Eligible helps Rhode Island households check eligibility for SNAP, Medicaid, RI Works and child care assistance in one conversation.

roleApplied AI engineer
sinceDec 2025

Genpact→

Banking & capital markets, analytics embedment. Generative AI and analytical solutions built into the analytics org, and the LLMOps that keeps them running once they are.

roleAM, generative AI
whenDec 2024 – Apr 2026

Indivia AI→

Founding engineer. The stack from nothing, at the size where one person owns every layer of it.

rolefounding AI engineer
whenAug – Dec 2025

IQVIA→

Advanced analytics.

roleanalyst, advanced analytics
whenJul 2022 – Dec 2024
./about the long version

I studied Aerospace Engineering at IIT Madras and graduated in 2021. I haven't worked on an aircraft since. The degree did leave me with a habit I still use every week. You model a system you can't fully see, and you keep track of which terms you threw away to make the maths work. Machine learning asks for the same thing.

I spent two and a half years in advanced analytics at IQVIA. I built RAG systems and NLP over public health feedback, worked on price elasticity and demand forecasting, and set up the CI/CD the pipelines ran on. At Genpact I sat inside the banking and capital markets analytics team, where generative AI had an owner, an audit trail and someone on call for it. After that I was the founding engineer at Indivia AI and owned the whole stack. Now I'm at ITO Health. It's healthcare, so getting it wrong costs more.

The part I care about is everything around the model. Getting the data in, training, shipping the service, then cutting the system down until one person can hold it in their head. When an applied AI project fails, the model is rarely why.

Outside work there's cricket. I also keep stripping my own tools down and arguing with myself about how little software I actually need. Some of that ends up on the blog.

elsewhere blog github linkedin email