Summary
Bilal Thodi is a Senior Software Engineer (Machine Learning) based in California with six years of industry and academic experience building risk and fraud detection systems using both classical ML and cutting-edge LLM approaches. He completed a Ph.D. in Transportation Planning and Engineering at NYU, where his research advanced traffic flow modeling and inverse problems and informed data-driven, security-aware microsimulation work. At Uber he has progressed from Ph.D. intern to senior ML engineer, owning modeling, experimentation, and ML/LLM Ops for production-critical systems. He combines rigorous research instincts with pragmatic engineering—able to translate probabilistic traffic models and adversarial-analysis insights into robust, scalable ML pipelines. Outside of work he follows the latest advances in inference and practical AI systems, bringing those ideas back into production practice.
6 years of coding experience
4 years of employment as a software developer
Indian Institute of Technology Madras
Doctor of Philosophy - PhD, Transportation Planning and Engineering, Doctor of Philosophy - PhD, Transportation Planning and Engineering at NYU Tandon School of Engineering
Bachelor's Degree, Civil Engineering, Bachelor's Degree, Civil Engineering at Cochin University of Science and Technology