Summary
Meher Nigam is an Applied Scientist with 8 years of experience building ML and computer vision systems, currently focused on generative AI and diffusion models at Adobe. With an MS in Computer Science (ML) from Georgia Tech and a background spanning research labs, finance quant roles, and production ML engineering, she bridges rigorous research and product-driven development. She has moved between academic research at Georgia Tech's SHI Labs and hands-on engineering roles that shipped vision and generative systems, bringing both experimental rigor and practical deployment experience. Her career includes quantitative strategy at Goldman Sachs and early computer vision work at IIIT Hyderabad and startups, giving her a rare mix of probabilistic modeling, production ML, and domain adaptability. Colleagues value her ability to translate cutting-edge generative techniques into scalable features within a large product org.
9 years of coding experience
6 years of employment as a software developer
Bachelor of Technology Computer Science, Bachelor of Technology Computer Science at International Institute of Information Technology Hyderabad (IIIT Hyderabad)
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
English, Hindi