Meisam Hejazinia
Principal Applied Scientist at Amazon
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolMeisam Hejazinia is a Principal Applied Scientist with 11+ years building production ML and agentic LLM systems that measurably improve ops, analytics, and root-cause workflows. He’s shipped agent platforms and governance at Amazon and led LLM modeling, RLHF, and evaluation work at Google/DeepMind, pairing research-grade methods with production rigor. Earlier roles at Meta, Expedia, and startups show a rare blend of privacy-preserving ML (FL, DP, MPC), recommender systems, and revenue-driving experimentation that translated directly into business KPIs. A founder who has taken products 0→1, he prefers ops-heavy domains where ML moves the needle and architects pragmatic, cost-efficient solutions (self-RAG, micro-SOPs, LLM-as-judge). He holds a PhD in Quantitative Management Science with publications in ICML and SSRN recognition, signaling both deep theory and applied impact. Based in San Diego, he combines distributed-data engineering roots with a knack for rapid problem discovery to deliver measurable wins in quality, latency, and cost.
11 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD) Quantitative Marketing and Management Science, Doctor of Philosophy (PhD) Quantitative Marketing and Management Science at Naveen Jindal School of Management, UT DallasAmirkabir University of TechnologyMaster of Business Administration (M.B.A.) Management and Economics, Master of Business Administration (M.B.A.) Management and Economics at Sharif University of Technology
English, German, Turkish
Github Skills (2)
octave1
matlab1
Programming languages (1)
Github contributions (2)
meisamhe/GPLshared
Dec 2014 - Apr 2019
Contributions:57 commits, 34 pushes in 4 years 4 months
renozao/RcppOctave
Jan 2015 - Jan 2015
Seamless Interface to Octave -- and Matlab code
Contributions:1 comment, 1 issue in 1 day
matlabseamlessoctavematlab-code
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