Aditya Gudibanda is a Research Engineer at Google DeepMind with 11 years of experience building and publishing cutting-edge ML systems focused on NLP, LLMs, speech, and generative AI. A Yale Math+CS graduate and former USAJMO competitor, he blends rigorous theoretical training with hands-on engineering to ship production models for Gemini Speech and other LLM initiatives. His career spans academic research, startups, and industry R&D—authoring multiple papers and patents that reflect contributions from genomics and chemistry to scalable machine learning. Aditya co-founded a data consultancy where he translated client needs into deployable ML solutions, and earlier work earned national recognition in algorithmic science competitions. He is comfortable across research and product boundaries, moving ideas from prototypes to deployed ASR and generative systems.
10 years of coding experience
10 years of employment as a software developer
Bachelor's Degree Mathematics and Computer Science, Bachelor's Degree Mathematics and Computer Science at Yale University
High School, High School at Hume-Fogg Academic High School
Contributions:2 pushes, 1 branch in 1 year 11 months
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