Naeem Khoshnevis is a lead ML research engineer at the Kempner Institute with 11 years of experience bridging high-performance computing, statistical modeling, and production-grade machine learning. He combines a PhD in geophysics with deep expertise in parallelization for shared and distributed memory systems, honed through research roles at Harvard and extensive NSF- and USGS-funded earthquake simulation projects. Naeem specializes in optimizing deployment of large deep learning models, building efficient data pipelines, and promoting reproducible research across academic collaborations. He has a track record of turning complex scientific simulations into scalable, validated software and is currently exploring under-the-hood algorithmic optimizations for large language models. Based in Cambridge, MA, he pairs rigorous academic training with practical open-source development to accelerate ML workflows in research environments.
11 years of coding experience
11 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at University of Memphis
Master of Science (MSc), Engineering, Master of Science (MSc), Engineering at Iran University of Science and Technology
Contributions:2 releases, 3 reviews, 58 PRs in 1 year 8 months
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Naeem Khoshnevis - Lead ML Research Engineer Kempner Institute at Harvard University