Summary
Alex Tsaptsinos is a Senior Member of the Technical Staff at Cerebras Systems with 11 years of experience applying discrete mathematics and optimization to map state-of-the-art neural networks onto massively parallel processor arrays. He blends rigorous academic training (MMath, Oxford; MS Data Science, Stanford) with production-grade C++ and Python implementations that improve hardware utilization, latency, and throughput for deep learning workloads. At Cerebras he’s driven both research and foundational engineering, collaborating closely with DL researchers to turn mathematical models into deployable software. Earlier roles at Shazam and as an independent iOS developer show a pattern of shipping practical, measurable improvements—from A/B-tested genetic algorithm optimizations to consumer apps with thousands of downloads. Motivated by the societal impact of AI, he focuses on accelerating learning systems while helping teams integrate complex optimization techniques into production.
11 years of coding experience
2 years of employment as a software developer
MMath, Mathematics, Double First Class Honours, MMath, Mathematics, Double First Class Honours at University of Oxford
4 A*'s at A-level of Mathematics, Further Mathematics, Chemistry and Physics, 4 A*'s at A-level of Mathematics, Further Mathematics, Chemistry and Physics at Reading Blue Coat School
Computational and Mathematical Engineering MS - Data Science Track, Data Science, Computational and Mathematical Engineering MS - Data Science Track, Data Science at Stanford University
Spanish, English