Mehrdad Yazdani
Machine Learning Engineer at iMeta Technologies Limited
United States
Summary
👤
Senior🎓
Top SchoolMehrdad Yazdani is a Machine Learning Engineer with 12 years of experience applying research-driven methods to production ML problems, most recently leading modeling, evaluation, and tooling across WhatsApp integrity, GenAI, and recommendation at Meta. He specializes in preference learning, reward modeling, off-policy evaluation, retrieval, and optimization, and enjoys designing precise objectives, thoughtful experiments, and diagnosing failure modes that generalize beyond single products. His background spans academic research—from a PhD in Intelligent Systems to postdoctoral work in computational neuroscience—to industry roles improving real-world systems and developer workflows. Notably, he blends deep theoretical grounding (sparse optimal control, convex optimization) with hands-on system improvements like architecture exploration, hyperparameter and data-quality analysis, and cross-functional launch readiness. Based in Los Angeles, he gravitates toward problems where careful evaluation and objective design unlock robust, scalable ML solutions.
13 years of coding experience
17 years of employment as a software developer
University of California, San Diego
English, Persian
Github Skills (36)
python10
audio10
pytorch9
llm9
machine-learning9
multimodal9
natural-language-processing9
gpu9
deep-learning9
speech-recognition9
nlp9
transformer9
gemma8
inference8
numpy8
Programming languages (3)
Github contributions (5)
myazdani/data-analysis-for-ml
Nov 2017 - Jan 2020
Contributions:14 commits, 11 pushes, 1 branch in 2 years 2 months
myazdani/SkiCaffe
Jan 2016 - Jun 2017
Contributions:25 commits, 2 PRs, 17 pushes in 1 year 5 months
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