Shubhangi Thakur is a product-strategy professional focused on AI data operations, blending 15 years of experience with a recent MEng in Computer Science from Cornell to build scalable, cloud-native data pipelines and quality frameworks. She has driven DataOps and Generative AI projects at KPMG and led human-in-the-loop annotation programs for ML at micro1, translating research objectives into robust evaluation rubrics and QA processes. Comfortable working across Azure, distributed systems, and DevOps tooling, she combines hands-on engineering in Python, SQL and Spark with strategic product thinking to increase operational efficiency and data fidelity. A proven leader and educator—formerly a Cornell TA and Microsoft Learn Ambassador—she also brings nonprofit and student-run organization leadership to cross-functional collaborations. Unusually, she pairs enterprise-grade CI/CD and cloud migration experience with deep involvement in human evaluator workflows, making her adept at aligning model training data, safety requirements, and business impact.
15 years of coding experience
3 years of employment as a software developer
Bachelor of Technology - BTech (3C), Computer Science, Bachelor of Technology - BTech (3C), Computer Science at Amity University
Master of Engineering - MEng, Computer Science, Master of Engineering - MEng, Computer Science at Cornell University
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Adelphi University
Bachelor of Technology - BTech, Computer Science, Bachelor of Technology - BTech, Computer Science at Birkbeck, University of London
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