Summary
Bhavya Ghai is an Applied Scientist at Amazon with a decade of experience at the intersection of NLP, algorithmic fairness, and human-in-the-loop AI. She holds a PhD from Stony Brook University where her dissertation produced a causal visual analytics framework to identify and mitigate algorithmic bias and practical tools for debiasing word embeddings. Her work spans industry research internships at Twitter, IBM Research, and Nokia Bell Labs, where she built explainable active learning systems and improved ASR robustness, translating academic advances into production-aware solutions. Based in Palo Alto, she combines strong empirical rigor with product-minded engineering—shipping dashboards and integrations for nonprofits and large platforms alike. Colleagues describe her as someone who fuses transparency, accountability, and usability into ML systems, and she quietly champions human-centered debiasing approaches that make models more auditable.
10 years of coding experience
6 years of employment as a software developer
Class 12, 93.5%, Class 12, 93.5% at Delhi Public School Ghaziabad
Integrated Post Graduation(B.Tech+M.Tech), Computer Science, 8.20/10, Integrated Post Graduation(B.Tech+M.Tech), Computer Science, 8.20/10 at ABV-Indian Institute of Information Technology and Management
Doctor of Philosophy (Ph.D.), Masters of Science (M.S.), Computer Science, 3.81, Doctor of Philosophy (Ph.D.), Masters of Science (M.S.), Computer Science, 3.81 at Stony Brook University