Kulvinder Lotay is a machine learning and quantitative engineering leader with 11 years of experience building data-driven products and decision systems across travel, fintech, and AI ventures. He has driven revenue and margin gains through dynamic pricing, reinforcement learning and portfolio optimization—most notably delivering a 30% lift in gross revenue per product at Hopper and deploying hourly route forecasts at Pilota. Currently splitting time as Machine Learning at Voice.ai, Chief Scientist at Haystack.ai, and Partner for Quant Research and Engineering at Log AI Fund, he blends hands-on model development with strategic venture R&D. His background spans production ML pipelines, distributed systems, networked market models and experiment design, informed by an M.Eng from Cornell Tech and a CS degree with cybersecurity from Marist. Equally comfortable writing inference APIs and designing game-theoretic objectives, he specializes in translating complex stochastic models into deployable business outcomes. A founder at heart, he repeatedly pairs startup grit with rigorous, research-informed engineering to solve high-stakes operational problems.
11 years of coding experience
2 years of employment as a software developer
Honors Bachelor of Science (B.Sc.) Computer Science Major Cybersecurity Minor, Honors Bachelor of Science (B.Sc.) Computer Science Major Cybersecurity Minor at Marist College
Master of Engineering - MEng Computer Science, Master of Engineering - MEng Computer Science at Cornell Tech
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