Saul Fuhrmann is an engineering leader based in Berkeley with 11 years of hands-on experience building ML-driven products and data infrastructure that scale from research prototypes to multi-million-dollar revenue streams. He led core engineering and analytics at Kikoff through hypergrowth, built revenue-impacting ML systems at Lime (intelligent placement and dynamic pricing), and shipped high-throughput NLP and predictive modeling at Klout. His background spans applied research—coauthoring papers on 3D printing slicers and path verification—to production systems at Google that balanced hybrid consistency and performance. Saul blends deep mathematical training with practical product delivery, repeatedly turning complex algorithms into measurable business outcomes. He’s equally comfortable architecting infra for experiments and mentoring teams to own end-to-end impact.
11 years of coding experience
9 years of employment as a software developer
Mathematics, Mathematics at Technion - Israel Institute of Technology
Contributions:46 commits, 24 pushes, 2 branches in 14 days
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