Pouyan Rezakhani is a Senior Software Engineer specializing in LLMs at NVIDIA with eight years of experience at the intersection of machine learning, natural language processing, and quantitative finance. He holds an MS in Computer Science and Economics from the University of Zurich and has delivered research-driven production systems—ranging from NLP pipelines and financial news aggregation to high-accuracy information-extraction packages used in banking contexts. His background includes advanced systemic-risk research and novel algorithmic contributions (one implementation reportedly hundreds of thousands of times faster than predecessors), showing an unusual blend of theoretical rigor and pragmatic engineering. Based in Zurich, he brings GenAI-focused SWE experience at NVIDIA atop earlier data-science roles at Bank J. Safra Sarasin and EVMTech, where he improved model accuracy to around 93% for financial text tasks. Colleagues would note his ability to translate academic research into robust, well-documented software that scales in regulated finance and cutting-edge AI environments.
8 years of coding experience
7 years of employment as a software developer
Master of Science - MS Computer Science and Economics, Master of Science - MS Computer Science and Economics at University of Zurich
Bachelor of Science - BS Information Technology Engineering, Bachelor of Science - BS Information Technology Engineering at University of Tehran
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Contributions:6 releases, 252 reviews, 240 PRs in 1 year 10 months
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Pouyan Rezakhani - Senior Software Engineer, LLM at NVIDIA