John Fremlin is a hands-on senior engineer with 17 years of experience building high-performance distributed systems and data infrastructure, now working on pretraining at Anthropic. He has driven transformational projects at Google (Bigtable, BigQuery, Spanner) and Lyft (Rideshare 2.0), repeatedly delivering measurable business impact such as major DB price-performance gains and raising NYC driver earnings. His background spans low-level optimization and systems work—from kernel and codec performance at Broadcom to low-latency market data systems at Two Sigma—and includes early contributions to Facebook Live and large-scale network monitoring. Comfortable operating without organizational buy-in, he prefers technically challenging, high-leverage roles over incremental or purely managerial work. Trained in mathematics at Cambridge, he combines rigorous analytical thinking with a pragmatic, product-focused engineering style.
17 years of coding experience
17 years of employment as a software developer
MA Mathematics, MA Mathematics at University of Cambridge
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John Fremlin - Member Of Technical Staff at Anthropic