At CHRIST Incubation and Consulting Foundation, I led 14+ live projects, including international projects and AI implementations, and managed 150+ interns. I redesigned processes and coordinated across teams, improving delivery efficiency by 30%.
As a freelance AI/ML and Web Developer, I deliver end-to-end web applications and custom AI models for clients, from requirements through deployment.
I built a Medical Diagnosis System with Explainable AI that ranked the right condition in the top three for 96–100% of 15,360 simulated cases, with p95 latency under 35 ms. Its Flask API and React interface show per-condition score breakdowns, confidence thresholds, and clarifying questions.
In my Tiny LM project, I implemented a decoder-only transformer from scratch in PyTorch, with 67 passing tests, and trained an 816K-parameter model. I also created an engineering agent harness that stops runaway loops using fixed budgets and saves evidence instead of retrying indefinitely.
