Harsh - AI person, mostly
I write Python for a living, train neural nets for fun, and occasionally ship things that actually work. MS in AI at Boston; graduated April 2026 and very much open to what's next.
My Toolkit
AI & Deep Learning
Frontend & Mobile
Infrastructure
Projects
Paragrad Autograd Engine!
2026
Rocket Landing using Reinforcement Learning!
2025
Developing a chess plugin for Manim!
2024
EazyPredict ML module
2023
Developing a scraper to get NLP data using Beautiful Soup and python!
2022
Chrome Extension To Monitor Mental Health
2021
Building a Football Score Updates API with Node.js and Web Scraping
2020From the Blog
Where I've Worked
AI Research Assistant
Massachusetts General Hospital / Harvard Medical School
Built an end-to-end deep learning pipeline for CT radiation dose estimation on ~12k DICOM scans. Achieved 12.3% error reduction vs. baseline through model iteration and reproducible evaluation for clinical stakeholders.
Lead Machine Learning Engineer
BeSuperhuman.ai
Built an LLM-driven agent system 0→1 with tool-calling orchestration, browser action generation, and validation. Reduced LLM inference and ops costs by 88% through caching layers and pipeline optimization.
Deep Learning Research Intern
AmritaCREATE Labs
Developed a PyTorch transformer-based system for continuous sign language recognition from noisy, unstructured video. Iterated on preprocessing and architecture to improve robustness for e-governance teams.
Full Stack Developer Intern
Agrisoft Dairy
Built mobile and backend features using Flutter and REST APIs in a fast-moving small team.
Got something interesting? Let's talk.
Open to research collabs, interesting engineering problems, and the occasional wild idea. I respond to most emails - no recruiters pitching Java roles, please.