Vaibhav Adlakha is a PhD candidate at McGill and Mila with eight years of industry and research experience focused on LLM-based embeddings and dense retrieval. He combines academic rigor—guided by Prof. Siva Reddy—with hands-on work at ServiceNow Research and an internship at Cohere, bridging cutting-edge retrieval research and applied engineering. His background includes research on open information extraction and knowledge graphs from IIT Delhi and production experience building device analytics at Samsung R&D Bangalore. Comfortable moving between prototype research and production systems, he excels at turning novel embedding and retrieval ideas into scalable implementations. Based in Canada, he brings a strong math and CS foundation (IIT Guwahati) and a knack for translating complex NLP methods into usable tools for real-world decision-making.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Technology (B.Tech.), Mathematics and Computer Science, 8.39, Bachelor of Technology (B.Tech.), Mathematics and Computer Science, 8.39 at Indian Institute of Technology, Guwahati
Delhi Public School - Rohini
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at McGill University
Contributions:6 releases, 5 reviews, 33 PRs in 8 months
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