Prashant Shiralkar is a founder and applied science leader with 12 years of experience building production-grade AI systems that turn noisy web data into reliable knowledge and product intelligence. He led multidisciplinary teams at Amazon and Qualtrics to design web-scale information extraction, GNN/transformer models, and generative-AI features—delivering millions of high-precision facts for Alexa and multiple GenAI experiences used by thousands of brands. His PhD work in computational fact-checking and years building ontologies and extraction pipelines give him a rare blend of research rigor and operational delivery. Now building HatAlign, he’s applying ranking and evaluation expertise to make early-stage hiring more transparent and signal-driven, prioritizing explainability and alignment rather than opaque resume screening. Colleagues describe him as a builder who moves fluidly between defining scientific roadmaps and shipping systems that measurably reduce risk.
12 years of coding experience
13 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science & Engineering, Bachelor of Technology (B.Tech.), Computer Science & Engineering at Nirma University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Indiana University Bloomington
Masters, Computer Science, Masters, Computer Science at University of Iowa
Contributions:30 commits, 23 pushes, 1 branch in 3 months
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