Daniel Cohen is a Senior Software Engineer based in New York with 11 years of experience building data-driven systems and machine learning pipelines. He currently engineers at Google after progressing there from Software Engineer roles and previously focused on data science and backend systems at Skillz, where he built high-throughput Python/AWS pipelines and fraud-detection models. His background blends strong CS and math fundamentals from Northeastern with hands-on production experience optimizing player matching, wait-time prediction, and large-scale data movement. Daniel has also taught theory of computation and created developer-facing Python training and documentation, signaling an aptitude for clear technical communication. He excels at turning statistical ideas into robust, scalable services that operate on millions of datapoints daily. Colleagues would note his mix of rigorous academic roots and pragmatic production engineering.
11 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS) Computer Science and Mathematics, Bachelor of Science (BS) Computer Science and Mathematics at Northeastern University
Contributions:61 commits, 48 pushes, 1 branch in 1 month
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