Tsvika Shapira is a Principal Engineer and research-driven data scientist with a decade of experience turning complex biological and imaging data into operational products and scientific insight. With an M.Sc. in Physics and Talpiot training, he has repeatedly entered unfamiliar domains—microscopy, sequencing, microfluidics, and medical devices—and delivered production-grade systems used in clinical trials and a clinical-stage spinout. A Python and numerical computing expert, he built high-throughput pipelines handling hundreds of millions of sequences and developed practical innovations like fiducial-based image registration and reverse-engineered sequencer formats. He combines hands-on hardware integration and microscopy engineering with algorithm design, and even implemented a PyTorch-like framework from scratch for fun, reflecting deep systems thinking. Based in Haifa, he seeks impactful ML-forward roles where cross-disciplinary problem solving and rapid delivery matter.
10 years of coding experience
7 years of employment as a software developer
B.Sc, Physics and Mathematics, B.Sc, Physics and Mathematics at The Hebrew University of Jerusalem
M.Sc., Physics, M.Sc., Physics at Weizmann Institute of Science
Co-led Weekly 8-Hour Sessions, Co-led Weekly 8-Hour Sessions at Redwood Research ML Bootcamp Material
Contributions:3 releases, 6 PRs, 73 pushes in 11 months
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