Meher Nigam
Applied Scientist 3 at Adobe
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolMeher 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.
8 years of coding experience
4 years of employment as a software developer
Bachelor of Technology, Bachelor of Technology at International Institute of Information Technology Hyderabad (IIIT Hyderabad)Master of Science - MS, Master of Science - MS at Georgia Institute of Technology
English, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (71)
multi-gpu9
audio9
nlp9
deep-learning9
pytorch9
stable-diffusion9
flux9
python8
image-generation8
diffusion-models8
speech-recognition8
machine-learning8
natural-language-processing8
tensorflow8
memory-editing7
Programming languages (8)
Github contributions (5)
ShashwatNigam99/reflection-removal
Mar 2020 - Aug 2022
Implementation of the IEEE paper titled "Reflection Removal using Ghosting Cues".
Contributions:7 commits, 1 push, 1 branch in 2 years 6 months
machine-learningieee-paperremovalieeereflection
ShashwatNigam99/SMAI-Assignments
Dec 2019 - Dec 2019
Contributions:2 commits, 1 push, 1 branch in 1 day
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.