Rahul Makhijani

Ph.D., Operations Research (Management Science), Stanford University, 2019
Master of Science, Statistics, Stanford University, 2017
Bachelor of Technology (Honors), Electrical Engineering, IIT - Bombay, 2013

Research Expertise
Machine Learning, Optimization

Rahul Makhijani is a staff machine learning engineer at EarnIn, where he develops real-time, risk-aware decision systems for financial policy optimization. His work focuses on large-scale machine learning and optimization to reduce loss while maintaining system performance.

He earned his Ph.D. in operations research from Stanford University, where he studied online marketplaces and algorithmic market design. Makhijani teaches graduate-level courses in data science and machine learning, emphasizing the translation of theory into production systems.