Engineer focused on building systems that work end-to-end — not just code that runs, but products that are clean, maintainable, and built to last. I like treating problems as information problems first, and code second.
Currently exploring agentic AI systems and production MLOps, and always looking for the next thing to learn.
- 🔭 Currently building Epics App — a legal AI super-app
- 🌱 Learning agentic AI systems and production-grade MLOps
- 🤝 Open to collaboration, research, and open-source work
Software Engineering Intern · Aug 2025 – Jun 2026 Built production NLP models, OCR pipelines, and backend APIs for enterprise workflows. (This work lived on a separate company GitHub account, so it won't show up in the activity graph below.)
Independent Builder · Jun 2026 – Present Building open-source LegalTech tools, hybrid AI search systems, and crowd-flow prediction pipelines.
Languages: Python, JavaScript, TypeScript, Dart, C++, SQL Frameworks & Data: React, Flutter, FastAPI, Pandas, NumPy, Scikit-Learn, PostgreSQL AI/Tools: LLMs (OpenAI/Claude), LangChain, Git, Docker, Postman
| Project | Stack | Description |
|---|---|---|
| PolarBrief | NLP, OCR, Jupyter | Legal argument analyzer — extracts and scores Pro/Con/Neutral arguments from legal PDFs |
| Simhastha | Python, ML | Crowd-flow prediction and route optimization pipeline for Ujjain 2028 |
| LexAI | Flutter, React, FastAPI | LegalTech super-app monorepo with hybrid search and voice workflows |
| Prescription | Python, NLP | Voice-to-JSON prescription generator, cross-referenced against 30,000+ Indian medicines |
| Legal Knowledge Graph | Python, GraphDB | Pipeline turning legal PDFs into entity-relationship knowledge graphs |