Summary
Kabir Ahuja is a research-driven machine learning engineer and PhD student at the University of Washington with roughly nine years of experience applying ML to recommendation systems and foundational model analysis. He has combined industry impact at Udaan and research roles at Microsoft Research, IISc, MIT and Google DeepMind to study transformer and recurrent model capabilities, controlled text generation, and reinforcement learning for molecular problems. Known for translating theoretical insights into production-ready personalization solutions, he blends strong academic rigor (BITS Pilani, visiting researcher at MIT) with hands-on deployment experience. Beyond work, he pursues digital character art and writes film reviews, reflecting a creative streak that often informs his approach to problem framing and communication.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Washington
BITS Pilani, Birla Institute of Technology and Science
High school, Science, High school, Science at DAV International School
English, Hindi, Punjabi