Aman Mohanty is a Staff ML Engineer in Austin with eight years of experience building and productionizing machine learning and data systems, most recently at Visa after joining as a Senior Data Engineer in 2021. He holds an MS in Electrical and Computer Engineering from Carnegie Mellon, where his research advanced model calibration and membership inference attacks and produced practical frameworks for attribution analysis using SHAP, LIME and IG. Comfortable across TensorFlow and PyTorch, Aman blends research rigor with hands-on engineering to improve model reliability and interpretability in real-world settings. His background in both deep learning and tree-based model introspection gives him a nuanced view of how training data and internal parameters influence generalization and privacy risks.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech, Electronics and Instrumentation Engineering, 8.89/10, Bachelor of Technology - BTech, Electronics and Instrumentation Engineering, 8.89/10 at College of Engineering and Technology, Bhubaneswar
Master of Science - MS, Electrical and Computer Engineering, 3.92/4.0, Master of Science - MS, Electrical and Computer Engineering, 3.92/4.0 at Carnegie Mellon University
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