Priyanka Mammen is a Ph.D. candidate in computer science at UMass Amherst with a decade of experience building scalable, uncertainty-aware ML systems that span multimodal retrieval, data-center resource management, and mobile health sensing. Her research and engineering work has reduced search latency and improved energy efficiency in ML infrastructure while creating generalizable, personalizable health-monitoring models across large populations. She brings strong domain expertise in deep learning, NLP, signal processing, and federated learning, and is fluent in Python, C/C++, MATLAB, TensorFlow, PyTorch and cloud platforms. Comfortable bridging research and production, she focuses on resource-efficient, uncertainty-driven solutions—an approach reflected in projects from sleep and activity detection to bias detection in LLMs and uncertainty-driven load forecasting. Based in Amherst, MA, she combines rigorous academic training with practical deployment experience and an eye for system-level optimization that benefits both users and infrastructure.
10 years of coding experience
Bachelor's Degree, Electrical and Electronics Engineering, Bachelor's Degree, Electrical and Electronics Engineering at Cochin University of Science and Technology
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Massachusetts Amherst
Master's Degree, Computational Mathematics, Master's Degree, Computational Mathematics at National Institute of Technology Karnataka
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