Summary
Nithin Chalapathi is a PhD candidate in Electrical Engineering and Computer Science at UC Berkeley's BAIR, combining deep research with hands-on software development. He holds an MS in Computer Science with a perfect 4.0 GPA and a BS in Mathematics and Computer Science from the University of Utah, underscoring a strong foundation in theory and engineering. His industry experience spans software internships at Amazon, data science work at Powerhouse, and blockchain development at Paddington Software Services, along with leading healthcare UX initiatives at University of Utah Health that achieved 99.9% reliability and faster emergency response. Since 2021 he has been a Doctoral Student at UC Berkeley, leveraging research in AI to inform practical system design. Based in Berkeley, he blends rigorous academic training with production-oriented engineering across front-end and back-end systems, with a track record of delivering reliable, scalable software during diverse roles. He is known for applying mathematical rigor to build robust architectures and user-centric interfaces.
10 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical Engineering and Computer Science, Doctor of Philosophy - PhD, Electrical Engineering and Computer Science at University of California, Berkeley
The University of Utah