Abhishek Lalwani is an applied scientist and computer vision engineer with 8 years of experience building production-grade AI systems across Microsoft, NVIDIA, Adobe Research, and startups. He holds an MS in Computer Science from UMass Amherst (3.97 GPA) and has blended research and product work—shipping label-efficient action recognition models with Microsoft, controllable generative makeup transfer at Adobe, and texture synthesis from sketches under Prof. Subhransu Maji. At NVIDIA he contributed to GeForce NOW and applied deep learning to model player behavior and improve user experience for millions of gamers, while at Gaia AI he combined LiDAR and vision to make forest biomass measurement commercially viable. Now on the M365 Copilot Hub team, he bridges research and engineering to move generative and vision models into user-facing products. A practical innovator, he often tailors academic architectures (StyleGAN, Pix2Pix, CLIP) for real-world constraints and label efficiency.
8 years of coding experience
6 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Science, Science at Maharaja Sawai Man Singh Vidyalaya
Master's degree, Computer Science, 3.97/4.0, Master's degree, Computer Science, 3.97/4.0 at University of Massachusetts Amherst
Contributions:30 commits, 31 pushes, 1 branch in 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Abhishek Lalwani - Applied Scientist 2 at Microsoft