"I don't just write code. I architect systems that reason, adapt, and scale."
I'm a B.Tech AI & Data Science student at VESIT, Mumbai, but my work spans the full spectrum of software engineering — from low-level algorithmic optimization to high-level system architecture. I believe the best engineers are those who can move seamlessly between abstraction layers.
What separates my approach:
- Systems Thinking: Every project starts with architecture diagrams, not
main(). I map data flows, failure modes, and scaling bottlenecks before writing the first line of code. - AI-Native Development: I don't bolt AI onto products. I design products where AI is the core infrastructure — from CrisisSync's real-time incident classification to StudySync's intelligent scheduling.
- Full-Stack Ownership: Frontend (React/Vite/Tailwind), Backend (Node.js/Express/Firebase), DevOps (Docker/Cloud Run), and ML (Gemini API, custom models) — I own the entire lifecycle.
- Production-First Mindset: Every repo has CI/CD considerations, environment configs, and deployment documentation. Side projects are treated like production systems.
Philosophy: I solve problems not to memorize patterns, but to understand the underlying computational complexity and trade-offs. Every solution is documented with time/space complexity analysis and alternative approaches.
