I build backend systems and ML-powered tools
that solve real operational problems.
API design · caching strategies · database architecture.
I care about what happens under the hood.
I'm a 3rd-year CS undergrad who got into software because I wanted to understand how things actually work — not just consume them.
Most of my time goes into systems with real architecture decisions: API design, database schemas, caching strategies, ML integration. I'm building toward ML/AI research.
My standard: if I can't explain why a design decision was made, I haven't understood it well enough to ship it.
An error intelligence API — raw logs in, structured debugging intelligence out. Multi-language parser for Python, Java and Node.js. ML classifier with confidence scoring, severity estimation and fix suggestions. API key auth, rate limiting, and a feedback loop that retrains the model on real usage data. Built to fit into CI/CD pipelines — not just look good in a demo.
If you have a project that needs real backend architecture, a research collaboration idea, or just want to talk systems and ML — reach out. I respond fast to things that are interesting.