Ujwal Narayan is a Data Scientist with ~8 years of experience specializing in NLP, machine learning, and emerging graph learning techniques, currently applying these skills at Anoki AI. He has a strong research foundation from IIIT Hyderabad, where his work on semantic extraction from financial regulatory texts led to publications at WWW 2022 and practical multi-label classification systems for compliance tasks. In industry roles at Klevu and LimeChat he improved search relevance via catalogue enrichment and built ML systems for conversational products, respectively, blending research rigor with product impact. Comfortable across the stack, he moves from model development to production optimization—aptly summarized on GitHub as "Making GPUs go brrrr"—and enjoys squeezing performance from hardware. Elected student leader and writer during his IIIT tenure, he brings clear communication and cross-functional collaboration to technical projects. He is now seeking opportunities to scale NLP and graph-learning solutions that make measurable real-world impact.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at International Institute of Information Technology Hyderabad (IIITH)
Contributions:10 commits, 2 PRs, 8 pushes in 7 months
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