About

AI engineering, technical education, and the path from robotics to agents.

I am an AI engineer and technical educator based in India. I lead AI engineering work at Weights & Biases by CoreWeave on internal coding agents, harness benchmarks, and memory.

Timeline

2025–now
Agent engineering and leadership
Leading a team working on coding agents, internal benchmarks, memory, and applied research at W&B by CoreWeave.
2023–2025
LLM systems and evaluation
Built production RAG evaluation, LLM and agent integrations, courses, talks, and the evaluation-driven refactor of Wandbot.
2020–2023
ML infrastructure and education
Created open-source integrations, technical reports, Kaggle programs, and practical material across deep learning and MLOps.
2016–2020
Robotics and computer vision
Studied Electronics and Communication Engineering at Netaji Subhash Engineering College, Kolkata; built autonomous robots and early applied-ML projects.

How I work

I prefer work with a short path from question to evidence. I build an initial version, instrument it, inspect failures, and decide what to change. Writing is part of that process: it forces me to state what I observed and makes the result reusable.

Recognition

  • Google Developer Expert in Machine Learning, 2022–2025
  • Kaggle Notebooks Master
  • Solo silver medal in Kaggle’s 2026 Orbit Wars, placing 132nd among 4,729 teams
  • Third place in EngiNX 2018, from more than 19,000 participating teams

The “Enginear” story

When I was ten, a teacher asked what I wanted to become. I said “engineer.” Asked to spell it, I got it wrong, and was told that someone who could not spell the word could not become one.

I kept the misspelling—Enginear—as the name of this site.

Elsewhere

GitHub · LinkedIn · Kaggle · Writing · Talks