Prashank Kadam

Prashank Kadam is a highly skilled Principal Machine Learning Engineer currently leading fine-tuning and GenAI initiatives at Cerby to automate Git-based policy workflows for identity and access automation. With extensive experience in building hybrid graph models and production ML pipelines for financial fraud detection at Vesta, Prashank has also developed machine learning models to predict fraudulent credit card activity. Prior roles include optimizing signal decomposition models at Waters Corporation, designing predictive models for fuel efficiency at Maersk Tankers, and creating dynamic pricing models at Accenture. Prashank's educational background includes a Master of Science in Data Science from Khoury College of Computer Sciences and a Bachelor's degree in Electrical, Electronics, and Telecommunications Engineering from Savitribai Phule Pune University, alongside advanced coursework in Deep Reinforcement Learning at Harvard University.