Summary
Nimay Kumar is a Data Scientist II with eight years of software engineering and applied ML experience, currently building financial crime and AML models at TD in Philadelphia. He holds an MSE in Data Science from UPenn and a BS in Electrical & Computer Engineering, blending rigorous academics with hands-on system development. Nimay has delivered end-to-end products—from data ingestion and cloud-optimized ML training with PyTorch to full-stack React/Node visualization—while automating workflows to cut compute time. His background spans high-stakes domains including aerospace simulation for the ISS and healthcare research, where he applied LLMs and autoencoders to extract and model complex clinical data. Comfortable bridging research and production, he seeks to advance machine learning engineering roles that emphasize scalable, auditable systems.
8 years of coding experience
5 years of employment as a software developer
Minor in Business, Minor in Business at Texas McCombs School of Business
Bachelor of Science - BS, Electrical & Computer Engineering, 3.58, Bachelor of Science - BS, Electrical & Computer Engineering, 3.58 at Cockrell School of Engineering, The University of Texas at Austin
Master of Science in Engineering - MSE, Data Science, 3.81, Master of Science in Engineering - MSE, Data Science, 3.81 at University of Pennsylvania