Summary
Zeev Rispler is an AI Engineer based in New York with five years of experience building machine learning systems across enterprise and research-driven environments. He transitioned from software engineering at Intel to ML roles at Iguazio/McKinsey, and now applies generative and production ML techniques at MongoDB. Zeev blends rigorous electrical engineering training from Technion with hands-on systems engineering, enabling him to bridge low-level performance concerns and high-level model deployment. He has experience taking prototypes into production in consulting and platform contexts, often navigating acquisitions and integration challenges. Outside of pure engineering, Zeev’s background as an assistant winemaker hints at a methodical, experiment-driven approach and an appreciation for complex, long-horizon processes. Colleagues describe him as a practical problem-solver who leverages AI to amplify human decision-making rather than replace it.
5 years of coding experience
4 years of employment as a software developer
Engineer's degree, Electrical and Electronics Engineering, Engineer's degree, Electrical and Electronics Engineering at Technion - Israel Institute of Technology
High School Diploma, High School Diploma at The Hebrew Reali School