Saaketh Koundinya is a Quantitative Developer with nine years of experience blending machine learning research and full-stack engineering, currently building valuation models that price every energy meter in the U.S. He holds an MS from NYU and has contributed to deep learning and personalized LLM recommendation systems as a graduate researcher and course grader for a LeCun-led deep learning class. Saaketh’s background spans industry roles at SAP and early-stage product development, giving him a rare mix of production software engineering and research-first modeling skills. His academic projects include neuroscience-focused VAEs that map ECoG signals across patients, reflecting a knack for translating complex signal-processing research into practical models. Based in the New York City area, he combines energy-domain quantitative modeling with hands-on ML engineering and HPC experience, often bridging experimental prototypes to deployable systems.
9 years of coding experience
4 years of employment as a software developer
MPC, MPC at srichitanya
Master of Science - MS Computer Science Engineering, Master of Science - MS Computer Science Engineering at New York University
Bachelor of Technology (BTech) Engineering, Bachelor of Technology (BTech) Engineering at National Institute of Technology Warangal
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