Alex Epstein is an ML software engineer based in New York with a decade of experience building production-grade systems at large tech firms including Meta, Amazon Lab126, AWS, and Cantor Fitzgerald. He blends expertise in artificial intelligence, optimization, and signal processing to move models from research into scalable products. His background developing device-focused software at Lab126 and cloud services at AWS gives him a pragmatic, system-level view of ML infrastructure and embedded constraints. At Cantor Fitzgerald he focused on applied ML in a high-stakes environment, and now at Meta he continues to ship at scale on cutting-edge ML problems. Alex holds an MS in Computer Engineering from Northeastern and a BS from Wentworth, reflecting strong academic foundations paired with hands-on engineering. Colleagues describe him as an engineer who bridges algorithmic rigor with production reliability, often surfacing simple optimizations that yield outsized system improvements.
10 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Engineering, Master of Science - MS, Computer Engineering at Northeastern University
Bachelor of Science - BS, Computer Engineering, Bachelor of Science - BS, Computer Engineering at Wentworth Institute of Technology
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