Vikas Natesh is a research scientist specializing in computer architecture, compilers for AI, programmable networks, and distributed systems, currently at Meta with over a decade of engineering and research experience. A Harvard PhD candidate with prior degrees from NYU Courant and the University of Chicago, he blends deep academic rigor with practical systems work across industry internships at AMD, MediaTek, and Meta Reality Labs. His projects span building new data-plane languages and compilers for switch networks to optimizing memory- and energy-efficient ML kernels for AR/VR and server-class CPUs. He has a strong teaching background in networks and scalable AI systems, reflecting an ability to communicate complex ideas to both students and engineering teams. Notably, his trajectory moves from bioinformatics and clinical data management into high-performance systems research, indicating uncommon interdisciplinary breadth paired with production-focused optimization skills.
11 years of coding experience
12 years of employment as a software developer
Master of Science - MS Computer Science - Courant Institute of Mathematical Sciences, Master of Science - MS Computer Science - Courant Institute of Mathematical Sciences at New York University
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Harvard University
Bachelor of Arts (B.A.) Economics Biological Sciences, Bachelor of Arts (B.A.) Economics Biological Sciences at University of Chicago
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