Vaibhav Kumar is a research-focused software engineer with 11 years of experience, currently working as a Research Engineer at Meta after a senior applied scientist role on Alexa AI at Amazon AGI. He specializes in information retrieval, conversational search, and NLP, combining deep learning research from his CMU Language Technologies master's with applied systems experience. His background includes a dual-degree in Computer Science and Computational Linguistics from IIIT Hyderabad, research on computational journalism and multilingual translation, and hands-on algorithmic work across Python, C++ and Go. He co-founded a startup (Ping!) and contributes practical algorithm implementations on GitHub, reflecting a blend of production engineering and academic rigor. Based in Seattle, he bridges research and product deployment, focusing on bringing conversational search advances into scalable AI systems.
11 years of coding experience
2 years of employment as a software developer
B.Tech in Computer Science and MS in Computational Linguistics by Research, B.Tech in Computer Science and MS in Computational Linguistics by Research at International Institute of Information Technology Hyderabad (IIITH)
Master of Language Technology Computer Science, Master of Language Technology Computer Science at Carnegie Mellon University
It is a repository that is a collection of algorithms and data structures with implementation in various languages.
Role in this project:
Back-end Developer
Contributions:5 commits, 7 PRs in 1 day
Contributions summary:Vaibhav contributed implementations of various algorithms and data structures in Python, C++, and Go. These contributions include implementations of Bellman-Ford, Floyd-Warshall, and topological sort algorithms. Furthermore, the user optimized a Knapsack implementation in C++.
Contributions:6 commits, 1 push in 1 year 4 months
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