Bridging the gap between theoretical AI models and practical, production-ready software.
I’m a Computer Science student who enjoys building AI systems that actually do something useful>_ no more generic wrapper apps please—not just sit in notebooks.
I’m especially interested in agentic workflows, RAG-based systems, and figuring out how to turn LLM ideas into real, usable products. I like working on problems where there are multiple moving parts, messy inputs, and no obvious solution—and then designing systems that make it all work smoothly.
I lean more toward building and shipping than getting stuck in theory—the only time my notebook comes out is during a 3 a.m. lightbulb moment💡 click me while I’m supposed to be studying (for midsems). If it involves making AI practical, reliable, and a little smarter in how it behaves, I’m probably already working on something like it.
A full-stack toolkit focused on building scalable AI solutions and intuitive interfaces.
Building the brains behind the software
Scalable infrastructure & deployment
Crafting intuitive user experiences
Have a project in mind or just want to talk AI? Drop me a message — I’ll get back to you soon.
The deployment is hanging because of undocumented bugs. Do me a favor and squash a few before we ship to production?
Warning: Unhandled exceptions detected. Squish bugs before deployment.