Summary
Prajakti Kapade is a data scientist with 4+ years focused on building and deploying production-grade ML solutions and 8 years of broad engineering experience spanning data engineering, web development, and research. She has hands-on expertise with LLMs, LangChain, Transformer architectures, and end-to-end cloud deployments (AWS SageMaker, Lambda, EKS), and has delivered recommendation and predictive systems as well as automation for incident classification. At Viasat she engineered scalable feature and ETL pipelines with FlinkSQL and PySpark and led benchmarking efforts to inform cloud migration strategy, demonstrating both operational rigor and performance-focused optimization. Her research work on self-supervised ActionCLIP shows a knack for label-efficient models, reducing labeled-data needs by a factor of three while preserving accuracy. A clear communicator who bridges cross-functional teams, she combines production experience with an eye for model interpretability and fairness to drive actionable business impact.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Engineering Computer Science, Bachelor of Engineering Computer Science at MKSSS Cummins College of Engineering for Women
Masters Computer Science, Masters Computer Science at University of Massachusetts Amherst
High School Diploma, High School Diploma at St. Mary's Convent Sr. Sec. School, Ajmer