Applied Scientist at University of California-Merced
Los Angeles, California, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
🤩
Rockstar
🎓
Top School
Yerlan Idelbayev is an applied scientist with 11 years of experience specializing in machine learning research and model compression, currently based in Los Angeles. He has held applied science roles at AWS and Snap and completed internships at NVIDIA, Google, and Facebook, bringing both industry-scale production experience and deep research rigor. Yerlan earned a Ph.D. in Computer Science and an MS from UCSD, and his early academic work improved medical record classification using LSTMs, outperforming prior baselines. He blends research-driven innovation with hands-on engineering across cloud and ML systems, and has a track record of translating state-of-the-art models into deployable solutions. A detail that sets him apart is his combined teaching background and broad internship pedigree, which helps him communicate complex ideas to diverse technical audiences.
11 years of coding experience
2 years of employment as a software developer
University of California San Diego
Doctor of Philosophy (Ph.D.), Computer Science, GPA: 4.0, Doctor of Philosophy (Ph.D.), Computer Science, GPA: 4.0 at University of California, Merced
Bachelor's degree, Computer and Information Sciences, 3.88, Bachelor's degree, Computer and Information Sciences, 3.88 at International Information Technologies University
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Contributions:1 review, 10 commits, 3 PRs in 2 years 9 months
pytorchimagenetefficientnetbackbonecifar10
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
Yerlan Idelbayev - Applied Scientist at University of California-Merced