Summary
Daniel Vainsencher is an ML/AI optimization consultant with 13+ years of experience spanning research, software engineering, and production systems. He has led applied ML and optimization efforts at The Voleon Group as Senior Member of Research Staff and currently advises clients at Nirinor, LLC to turn data, proofs of concept, or ideas into scalable ML solutions. His career blends academia and industry, with postdoctoral work at Princeton, research internships at Microsoft Research, and ongoing work in algorithms R&D and system design. He earned a Ph.D. in Machine Learning from Technion, focusing on generalization and unruly data, grounding his work in robust, real-world ML. Based in New Jersey, he supplements technical leadership with mentoring and a knack for translating messy data into practical, auditable outcomes. An independent ML/optimization researcher and software engineer, he bridges theory and production to help teams scale ML initiatives from PoC to production.
13 years of coding experience
4 years of employment as a software developer
BSc, Computer Science, Mathematics, BSc, Computer Science, Mathematics at Technion - Israel Institute of Technology
Technion-Machon Technologi Le' Israel
Programming, Programming at Basmah
Hebrew, English, Spanish