Ehsan Gharib-nezhad is a Senior Data Scientist and LLM specialist based in the San Francisco Bay Area with nine years of experience building production-grade ML and AI systems across aerospace and retail. He led ML teams at NASA, reducing analysis time from months to minutes with 1D-CNN regressors, authored a popular TelescopeML PyPI package and fine-tuned LLaMA/Microsoft/phi-1 models for astronomy applications. At ClearDemand he now architects advanced LLM solutions for retail, while also advising product teams as an AI Business Fellow at Perplexity. His background combines deep domain science (PhD-level astrophysics and atmospheric modeling) with hands-on engineeringโdeploying models on AWS/SageMaker, creating reproducible Python tooling, and publishing ML research. Notably, he translated insights from 1,000+ arXiv papers into improved LLM precision and maintains a track record of turning complex scientific datasets into usable, production-ready models.
10 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD Physical Chemistry [Astrophysics], Doctor of Philosophy - PhD Physical Chemistry [Astrophysics] at Arizona State University
Data Science Immersive program, Data Science Immersive program at General Assembly
Master of Science - MS Physical Chemistry, Master of Science - MS Physical Chemistry at University of Tehran
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