Summary
Nitin P is a seasoned data scientist and cloud architect with nine years of experience and a 25+ year engineering pedigree spanning UNIX kernel work to modern cloud-native systems. Currently at Microsoft on Azure Cloud, he blends enterprise architecture, NoSQL and ML expertise to build regulated-industry solutions and responsible GenAI agents and platforms. Previously he led distributed NoSQL and real-time analytics efforts at DataStax and containerized DevOps platforms at CloudBees, bringing deep operational experience with Cassandra, serverless patterns, and ML/graph integrations. Based in Mountain View, he pairs a UC Berkeley background in applied mathematics and AI with hands-on systems knowledge from Oracle and Siemens, enabling him to translate low-level performance tradeoffs into scalable AI services. An angel investor in medical devices, he also brings product curiosity and cross-domain insight that often surfaces unconventional but practical approaches to data-driven problems.
9 years of coding experience
25 years of employment as a software developer
Applied Mathematics Artificial Intelligence & Machine Learning, Applied Mathematics Artificial Intelligence & Machine Learning at UC Berkeley College of Engineering