Fereydoon Vafaei
Principal Machine Learning Engineer - Generative AI Solutions
Washington, District of Columbia, United States
Summary
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Senior🎓
Top SchoolFereydoon Vafaei is a Principal Machine Learning Engineer at Salesforce AI with eight years of experience building high-impact Generative AI and LLM systems, currently driving Agentforce and the Atlas Reasoning Engine to scale agentic workflows across industries. He combines deep research chops (Ph.D. in CS) with hands-on MLOps and production engineering, having led large-scale projects on 100+ TB datasets and delivered low-latency RAG, GNN, CV, and diffusion-model solutions. At Salesforce he helped ship a flagship $100M+ product in under six months and is architecting infrastructure to enable over a billion customized agents per year. Previously he led R&D and ML engineering at Sciera, teaching and mentoring at the university level along the way, which underscores his strength in translating cutting-edge research into reliable, production-ready systems. Notably, he blends expertise in holistic LLM evaluation—fairness, safety, toxicity—with practical deployment experience across cloud platforms, making him a rare bridge between AI research and enterprise productization.
8 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Colorado State UniversityMaster of Science (M.Sc.) Computer Science, Master of Science (M.Sc.) Computer Science at North Dakota State University
Github Skills (11)
reserved9
python9
machine-learning9
deep-learning8
rights8
tensorflow8
data-science7
neural-network7
ml5
spring5
deep-neural-networks5
Programming languages (2)
Github contributions (5)
fereydoonvafaei/Machine-Learning-CMSC478-Spring-2022
Feb 2022 - May 2023
Contributions:6 commits, 40 pushes, 1 branch in 1 year 4 months
fereydoonvafaei/UMBC-CMSC-471-Fall-2019
Sep 2019 - Dec 2019
Contributions:139 pushes, 1 branch in 2 months
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