Summary
Prathamesh Mahankal is a Senior Machine Learning Engineer with eight years of experience building production ML systems across recommendations, gaming, finance, and public health. He has delivered low-latency, scalable recommendation rankers at Amazon Prime Video that serve millions and eliminated redundancies saving $500k+ annually, and recently joined DoorDash to continue shipping high-impact ML solutions. His background spans end-to-end pipelines, real-time feature engineering, and orchestration using cloud services (AWS, Azure), with hands-on expertise in Python, PyTorch/TensorFlow, Spark, and SQL. At Hi-Rez and IHME he applied causal inference and distributed processing to improve retention and accelerate research workflows, respectively, showing a knack for translating analytics into product and policy outcomes. Comfortable moving between research-grade models and operational constraints, he combines strong engineering rigor with product-minded experimentation. He describes his approach simply—“Machine learning or deep learning? None, I just keep learning”—which reflects a continual curiosity that fuels pragmatic, scalable solutions.
8 years of coding experience
8 years of employment as a software developer
Master of Science - MS Information Science/Studies, Master of Science - MS Information Science/Studies at University of Washington
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at Veermata Jijabai Technological Institute (VJTI)
English, Hindi, Marathi