Nakul Teke is a Senior Scientific Engineer with nine years of experience building high-performance C++ and Python software for EDA and quantum chemistry applications. He has driven scalable, production-grade tooling at Synopsys in STA/PV space and contributed a major core rewrite to MPQC v4 during his PhD to enable spin-orbital and open-shell calculations. His research produced automated frameworks for general-order coupled cluster methods and an explicitly correlated Green’s function (NR2-F12) implementation that reduced cost and memory for ionization potential calculations. Comfortable at the intersection of scientific computing and software engineering, he combines deep numerical methods knowledge with distributed, task-based runtime experience (TiledArray, MADWorld). Now based in Raleigh and recently moved into Ten63 Therapeutics, he brings an unusual blend of academic rigor and product-focused delivery to hard computational problems.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical Chemistry, Doctor of Philosophy - PhD, Theoretical Chemistry at Virginia Tech
Bachelor and Masters in Science, Chemistry, Bachelor and Masters in Science, Chemistry at Indian Institute of Science Education and Research (IISER), Mohali
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Nakul Teke - Senior Scientific Engineer at Ten63 Therapeutics