Summary
Sai Munikoti is a data scientist and researcher with eight years of experience applying graph machine learning, deep learning, and statistical methods to complex, real-world problems across energy, healthcare, and urban systems. With a PhD-level background in electrical and computer engineering and a strong theoretical foundation, he has led DOE-funded research units and managed product-focused teams delivering recommender systems, ATS tools, and fraud detection. His work spans node-level graph tasks to meta-reinforcement learning for scalable influence maximization, blending academic rigor (peer-reviewed publications) with production engineering using Python, PyTorch/TensorFlow, DGL, Spark, and AWS. Based in Richland, WA at Pacific Northwest National Laboratory, he combines big-data engineering and network discovery under uncertainty—an unusual mix that enables both theoretical advances and deployable ML products.
8 years of coding experience
4 years of employment as a software developer
Bachelors, Electrical Engineering, A, Bachelors, Electrical Engineering, A at B.I.T.SINDRI
Master of Science - MS, Cyber Physical System, Data Science, 9/10, Master of Science - MS, Cyber Physical System, Data Science, 9/10 at Indian Institute of Technology Gandhinagar (IITGN)
Doctor of Philosophy - PhD, Electrical and Computer Engineering, 3.9, Doctor of Philosophy - PhD, Electrical and Computer Engineering, 3.9 at Kansas State University
INTERMEDIATE, SCIENCE, INTERMEDIATE, SCIENCE at VIDYA BHARATI CHINMAYA VIDYALAYA,JAMSHEDPUR
English, Hindi, Telugu