I'm a data scientist who likes the boring parts — the data validation, the eval harness, the loss curves that refuse to go down. That's where the real work is.
Right now I'm at Scaler, writing scripts for AI engineering coursework and prototyping RAG pipelines and agents that actually fit into team workflows. Before that I was at Uncia (IITM Research Park) shipping anomaly detection and time-series forecasting to production.
I teach as much as I build — TAing Intro to Deep Learning, GenAI, ML Techniques, and Math II at IIT Madras. Translating a gradient-descent update into a sentence a first-year actually understands is its own craft.
- / end-to-end ML pipelines, from notebook → production
- / transformers, PEFT/LoRA, RAG, evals
- / agents — tool-use, planning, guardrails
- / data storytelling that holds up in a stakeholder review