Navid Madani
Machine Learning Engineer at University at Buffalo
Buffalo, New York, United States
Summary
👤
Senior🎓
Top SchoolNavid Madani is a Machine Learning Engineer and PhD candidate at the University at Buffalo who builds controllable, psychology-informed large language models for dialogue systems. He brings ten years of applied ML experience, having led AI pricing and simulation efforts at Tapsi—where he deployed nationwide ride-hailing pricing and matching algorithms—and shipped LLM alignment and regulated-chatbot work at Zillow. Currently working on foundational AI and ads ranking at Meta, Navid blends production-grade engineering (scalable pipelines, RL-based pricing, A/B testing) with academic research in high-level generation planning. His background uniquely ties behavioral modeling and reinforcement learning to conversational AI, enabling practical, human-centered LLM applications.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University at BuffaloBachelor’s Degree, Computer Software Engineering, Bachelor’s Degree, Computer Software Engineering at University of Tehran
Github Skills (12)
deep-reinforcement-learning9
pytorch8
deep-learning7
dialogue-systems7
natural-language-processing5
python5
clustering5
nlp5
natural-language-generation5
machine-learning3
conversational-ai3
data-science3
Programming languages (2)
Github contributions (5)
navidmdn/twitter_utils
May 2021 - Dec 2022
Contributions:26 commits, 3 PRs, 26 pushes in 1 year 6 months
navidmdn/homepage
Sep 2019 - Oct 2022
Contributions:20 commits, 2 PRs, 59 pushes in 3 years
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