Summary
Daniel Vainsencher is an applied ML and optimization consultant with 13 years of experience translating messy, real-world problems into deployable machine learning, algorithms, and software systems. With a Ph.D. in Machine Learning and senior research experience at The Voleon Group and Princeton, he blends rigorous R&D with hands-on engineering and staff mentorship. He helps organizations move from raw data or proofs-of-concept to scalable prediction systems and informed product decisions, advising on both technical design and practical constraints. Based in New Jersey, he runs Nirinor, LLC to consult on ML strategy, model development, and team coaching. Beyond consulting, his background spans industry research internships at Microsoft Research and early roles in algorithmic product development, reflecting a rare mix of academic depth and production-oriented pragmatism.
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
Doctor of Philosophy (Ph.D.), Machine Learning: Generalization and unruly data, Doctor of Philosophy (Ph.D.), Machine Learning: Generalization and unruly data at Technion-Machon Technologi Le' Israel
Programming, Programming at Basmah
Hebrew, English, Spanish