Vatsal Shah is a Senior Data Scientist with 11 years of experience designing and shipping 0→1 AI products and scalable personalization systems at Credit Karma, impacting a user base of over 120M members. He has led generative AI safety and retrieval-augmented generation efforts to reduce hallucinations and improve retrieval performance, while previously driving deep learning-based feed ranking and ad-revenue optimization that produced double-digit uplift across experiments. Comfortable moving models from research to production, he has built real-time services and large-scale feature pipelines, mentored junior scientists, and aligned ML work closely with product and business goals. His academic background in data science from USC and early work on NLP topic modeling and HPC optimization underpin a pragmatic blend of research rigor and production engineering. Notably, he pairs a hands-on engineering approach with a strong focus on model safety and measurable business impact.
11 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science (Data Science), Master’s Degree Computer Science (Data Science) at University of Southern California
Bachelor's Degree Information Technology, Bachelor's Degree Information Technology at University of Mumbai
High School Physical Sciences, High School Physical Sciences at Lilavatibai Podar Senior Secondary School
Identify trends in large scale text data in form of academic publications using topic modeling, NLP and machine learning
Contributions:7 commits, 2 PRs, 4 pushes in 5 months
nlpscale-textldadata-scienceidentify-trends
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