01. About Me
Hello! I'm Nithin, a Computer Science and Mathematics double-major at the University of Minnesota, Twin Cities (Expected Graduation: Dec 2027).
I am driven by the belief that the most resilient software is built on a foundation of mathematical rigor. I specialize in the intersection of algorithmic logic and scalable systems, currently deepening my expertise through an AWS Generative AI Developer certification. My focus is on deploying production-ready LLM applications and architecting automated, high-integrity data workflows.
Industry Impact: As an Engineering Intern at Stanley Black & Decker, I developed digital solutions for construction professionals and reached the finals of the Stanley X Hackathon with a project recognized for its innovation and scalability.
Data & AI Strategy: At the UMN "Analytics for Good" Hackathon, I leveraged Python and SQL to transform massive, unstructured datasets into actionable insights for large-scale sustainability challenges.
Full-Stack Prototyping: I thrive on the "end-to-end" product journey — from low-level Arduino firmware and CAD hardware prototyping to building modern, cloud-native web applications.
When I'm not in the lab, you'll find me training with the UMN Running Club, collaborating on AI projects, or playing music.
