Summary
Zav Shotan is a Senior Production Engineer and physicist with 11 years of experience building cloud-native infrastructure, data pipelines, and test systems for hardware and research environments. He has led Kubernetes containerization and bare-metal provisioning initiatives at Meta and architected air-gapped Kubernetes deployments and custom CI for Bloomberg, blending SRE rigor with machine and device integration. His background in quantum optics and precision microscopy informs a practical expertise in device control, laser stabilization, and complex instrumentation—skills he brings to AI/AR hardware testing and data-driven engineering. As a consultant and visiting researcher, he routinely bridges academic research and production-grade systems, delivering scalable pipelines on GCP/AWS and integrating ML models into operational workflows. Notably, he pairs low-level systems programming (C/C++, Python, Node.js) with high-level data modeling (BigQuery, Postgres) to solve cross-disciplinary problems that span optics, hardware, and cloud infrastructure.
11 years of coding experience
21 years of employment as a software developer
Doctor of Philosophy (PhD) Atomic/Molecular Physics, Doctor of Philosophy (PhD) Atomic/Molecular Physics at Bar Illan University
Computer Science, Computer Science at Makif Yehud High school
English, Hebrew