Kabir Samsi is a software engineer specializing in ML compilers and programming languages, with eight years of experience spanning research and production systems. Currently at Qualcomm working on GPU/NPU compiler infrastructure, he blends compiler design, formal verification, and hardware-aware optimizations developed during research at Cornell's Capra group. At Cornell he led CMSX's classic UI, mentoring 20+ student engineers to maintain an industry-scale codebase while co-leading a React/API migration, showing an unusual mix of large-scale product stewardship and low-level systems work. He has built verified translations and type systems for domain-specific languages, contributed to the Calyx compiler, and applied ML and data engineering skills on projects like Merlin for bird ID. A three-time Outstanding CIS TA and experienced course developer, Kabir pairs strong pedagogy with hands-on mentorship and a track record of shipping robust tooling for education and research. Based in New York, he combines practical production experience with formal PL rigor to bridge compiler research and real-world ML deployment.
8 years of coding experience
3 years of employment as a software developer
High School Diploma (Dual Enrollment), High School Diploma (Dual Enrollment) at Ohlone College
Bachelor of Arts - BA Computer Science & Mathematics, Bachelor of Arts - BA Computer Science & Mathematics at Cornell University
High School Diploma, High School Diploma at Alsion Montessori Middle/High School
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Kabir Samsi - Software Engineer ML Compilers at Cornell CMSX