Sashank Santhanam is a Machine Learning Researcher and PhD candidate based in San Jose with 11 years of experience building and evaluating conversational agents, cognitive architectures, and RL-driven systems. He has driven research and production-focused projects at Apple, JPMorgan Chase, NVIDIA, and Amazon, including large-scale dataset creation (e.g., Conv-FEVER and a 50M Reddit corpus) and training retrieval-augmented dialogue models up to 8.3B parameters. His work bridges cognitive bias and human behavior analysis with practical solutions to reduce hallucination and improve long-range context and factual consistency in dialogue. Comfortable moving between academic rigor and industry impact, he combines strong publication pedigree with hands-on system engineering for retrieval, decoding, and memory-based neural models. An often-overlooked strength is his interdisciplinary focus on decision-making and social network dynamics, which informs more robust and human-aligned conversational AI.
11 years of coding experience
6 years of employment as a software developer
Master of Science (M.S.), Computer Science, 3.875, Master of Science (M.S.), Computer Science, 3.875 at University of North Carolina at Charlotte
Bachelor's degree, Computer Science and Engineering, 3.77, Bachelor's degree, Computer Science and Engineering, 3.77 at Sri Venkateswara College of Engineering
High School, Informatics Practices, High School, Informatics Practices at PSBB
Contributions:25 commits, 19 pushes, 1 branch in 1 year 3 months
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