Summary
Atin Sood is a research-focused engineering leader with 13 years of experience driving AI and distributed systems initiatives at IBM, currently managing the AI for Code research agenda from the New York area. He has led cross-continental teams to productize research—most notably spearheading IBM NeuNetS (automated neural network generation) and IBM Deep Learning as a Service (DLaaS), bringing scalable GPU-backed training and NAS capabilities into production. Comfortable bridging research and engineering, he combines hands-on technical leadership in Kubernetes, containerization, and storage systems with strategic program management across IBM research labs. A mechanical-engineering-trained BTech who later studied big data analytics at Harvard Extension, he brings an uncommon blend of systems engineering rigor and AI productization experience.
13 years of coding experience
16 years of employment as a software developer
Bachelor of Technology (BTech), Mechanical Engineering, Bachelor of Technology (BTech), Mechanical Engineering at National Institute of Technology Kurukshetra
DAV Public School
CSCI E-63 Big Data Analytics, CSCI E-63 Big Data Analytics at Harvard Extension School
English, French