I'm a CS undergrad building at the intersection of systems, AI, and automation. I focus on turning research and mathematical thinking into performant developer tools and practical software.
Some things about me:- Currently based in Vadodara. Grew up in Rourkela, India.
- Third-year Computer Science engineering student.
- Interested in AI, systems, and applied mathematics.
- Regularly read research papers and try to implement ideas.
- Enjoy building small automation tools in Python.
- Comfortable across web development, DevOps, DSA, and system design.
- Fast learner and enjoy helping others.
- Building is the fastest way to truly understand ideas and learn new stuff.
- Strong fundamentals in math and systems matter more than short-term trends.
- Automation saves mental energy for harder problems.
- Research is valuable only when applied.
- Small, well-made tools compound over time.
- Teaching and explaining ideas reinforces learning.
- Neosis — Tree-based AI conversation memory with semantic search and contextual scratchpads.
- 0xbin — Encrypted, privacy-first pastebin with CLI support.
- TrialSync — NLP-powered patient-trial eligibility matching system.
- Spectre — Non-intrusive load monitoring using ML for appliance-level energy analysis.
- More automation tools and experiments on GitHub.
- Languages: Python, C++, TypeScript, Java, GO
- Built ML systems for healthcare and energy (PyTorch, NLP)
- Full-stack web apps with TypeScript, React, FastAPI, PostgreSQL
- Serverless tools and CLI applications (Vercel, Docker)
- Algorithmic problem solving — 500+ problems across competitive platforms