Marcus Manos
Solutions Architect at NVIDIA
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolMarcus Manos is a Solutions Architect and data scientist in the San Francisco Bay Area with 10 years of experience building and productionizing deep learning and NLP systems. He combines hands-on ML engineering—fine-tuning LLMs, deploying multi-GPU training with PyTorch/DeepSpeed, and leveraging Hugging Face and AWS—with advisory work teaching and consulting researchers at UC Berkeley and nonprofits through his own firm. Marcus has translated state-of-the-art research into business-ready solutions at companies including NVIDIA, American Express, and Esperanto Technologies, and has practical MLOps experience with Docker, Kubernetes, and HPC workflows. He pairs a formal MS in Information & Data Science from UC Berkeley with a background in political economy, giving him a pragmatic, cross-disciplinary approach to data-driven product design. An understated strength is his track record of mentoring and workshop teaching, which amplifies impact beyond individual projects.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Political Economy, Bachelor's degree, Political Economy at University of California, BerkeleyMaster of Science - MS, Information & Data Science, Master of Science - MS, Information & Data Science at UC Berkeley School of InformationFolsom Lake College
Github Skills (3)
color-palette3
palette3
colors1
Programming languages (4)
Github contributions (5)
Monterroso/CatanCardGame
Apr 2019 - Aug 2019
Contributions:19 commits, 1 push, 1 branch in 3 months
Monterroso/Monterroso.github.io
Jul 2018 - Sep 2019
Contributions:36 pushes, 1 branch in 1 year 1 month
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.