Pasha Khosravi
Machine Learning Engineer at Prism ML
San Jose, California, United States
Summary
👤
Senior🎓
Top SchoolPasha Khosravi is a machine learning engineer with 11 years of experience who blends academic rigor from a UCLA PhD in probabilistic reasoning with practical impact at AI-focused companies like LinkedIn and Prism ML. He specializes in explainable, trustworthy ML—building scalable algorithms for root-cause analysis and handling uncertainty in business metrics. His background spans applied research roles and engineering internships at major tech firms (Meta, Snap, Amazon), giving him a rare mix of production-grade software skills and deep probabilistic modeling expertise. Based in San Jose, he focuses on fairness, explainability, and robustness in models and metrics, and brings a knack for translating theoretical methods into deployable systems. An underappreciated strength is his continuity from tutoring foundational math to mentoring peers, which sharpens his ability to communicate complex probabilistic ideas clearly.
11 years of coding experience
8 years of employment as a software developer
Bachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Sharif University of TechnologyAssociate of Arts (AA), Computer Science, Associate of Arts (AA), Computer Science at Irvine Valley CollegeUniversity of California, Los AngelesUniversity of California, Irvine
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (86)
alarm10
julia10
logic10
probabilistic-reasoning10
documentation-generator10
electrical-engineering10
automata10
probabilistic10
probabilistic-graphical-models10
robotics9
ai9
probabilistic-programming9
apache-spark9
python9
model-management9
Programming languages (6)
Github contributions (5)
HackUCI2015/lyricSmartMatch
Nov 2015 - May 2020
Match people based on song lyrics and connect them using ShoutPoint API.
Contributions:1 PR, 4 pushes in 4 years 6 months
apisongpythonlyricssong-lyrics
UCLA-StarAI/NaCL
Jul 2019 - Nov 2020
Naive Conformant Learning
Contributions:27 commits, 5 PRs, 17 pushes in 1 year 4 months
deep-learningnaiveconformantmachine-learning
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