Neil Mehta is an AI Runtime Engineer based in New York with two years of professional software engineering experience and a background in chemical engineering from Cornell. He transitioned from low-latency trading firms like Tower Research Capital and Quantlab to LM Studio, bringing expertise in performance-sensitive systems and production-grade runtime engineering for AI. His experience spans core software development in high-frequency contexts and building reliable infrastructure that supports demanding compute workloads. At LM Studio he focuses on making model runtimes efficient and usable, blending low-level systems thinking with modern ML deployment needs. An early career foundation in chemical engineering and laboratory research gives him a practical, experimental approach to problem solving that complements his software craftsmanship. Active on GitHub as part of the LM Studio ecosystem, he stays engaged with tooling and runtime improvements that bridge research and production.
1 year of coding experience
8 years of employment as a software developer
Bachelor of Science (BSc) Chemical Engineering, Bachelor of Science (BSc) Chemical Engineering at Cornell University
Contributions:1 review, 1 PR, 20 pushes in 11 days
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