Summary
Naveen G is a Machine Learning Engineer in San Francisco with over a decade of experience bridging deep research and production ML across organizations from ISRO and TIFR to Yahoo Research, RealityEngines.AI (now Abacus.AI), Workday, and Meta. He builds and ships practical ML systems—especially in time series forecasting, meta-learning, constrained deep learning, explainability and bias mitigation—while also contributing to formal logic, reasoning, and ethical AI research. His work combines academic rigor (NeurIPS, IJCAI, AAAI publications and Stanford Encyclopedia contributions) with industry impact, including multiple patents and deployed forecasting and anomaly-detection features. At Workday he led ML algorithm design for intelligent planning and prototyped hyperparameter/experimentation platforms; at RealityEngines he advanced methods for adding constraints and removing bias from deep models. Not obvious from titles: he has a strong background in formal theorem proving and quantified modal logic applied to moral competence and robot ethics, influencing his approach to trustworthy AI. He holds a PhD in Computer Science from RPI and a cross-disciplinary foundation in physics and engineering.
11 years of coding experience
9 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Ph.D Computer Science, Ph.D Computer Science at Rensselaer Polytechnic Institute
Hindi, French, Telugu, Tamil, English