I spend my days turning raw data into something useful, and my nights building side projects that are either βalmost doneβ or technically finished but still getting refactored. Occupational hazard.
Most of my work lives at the intersection of data engineering, full-stack development, and AI systems, where things are designed to scale, fail gracefully, and occasionally behave exactly as expected.
Currently building:
- Debate Lab β an ongoing experiment where AI models debate under strict structure, mostly to answer the question: can chaos be well-architected?
- Yield β an algorithm visualizer focused on making classic computer science concepts intuitive, interactive, and visually satisfying.
Completed (but never truly finished):
- PassFX β a security-first password manager built with the assumption that everything will eventually break, so it might as well fail responsibly.
What drives me:
Solving hard problems at the intersection of data, systems, and AI, and building things that scale intelligently instead of just loudly.
Currently exploring: LLM architectures, applied AI research, advanced data workflows, and better ways to explain complex ideas without hand-waving.
Open to: Full-time roles, collaborations, and technical discussions that start as a βquick questionβ and quietly turn into a deep dive.
Languages
Data Engineering & Databases
AI/ML & Data Science
Web Development
Cloud & DevOps
- π Merged PR #60 in dinesh-git17/yield
- πͺ Opened PR #60 in dinesh-git17/yield
- π Merged PR #59 in dinesh-git17/yield
- πͺ Opened PR #59 in dinesh-git17/yield
- π Merged PR #41191 in supabase/supabase




