Summary
Mohammad Bhat is an AI researcher and MS candidate in Computer Science at the University of Colorado Boulder with six years of hands-on experience building vision-language and automated ML systems. He led development of open-source MLLM efforts at MBZUAI, producing the first open 65B multi-modal model and a novel latent chain-of-thought projector, and co-created a 1.18M Web2Code instruction-following dataset that set new benchmarks in image-to-code and webpage understanding (NeurIPS’24). His prior work includes AutoVideo and TODS AutoML systems at Texas A&M that improved accuracy while drastically cutting human engineering, plus production-focused forecasting and anomaly-detection tools in industry internships. Comfortable bridging foundational research and practical tooling, he combines publication pedigree (NeurIPS, IJCAI) with a track record of shipping large-scale datasets, open-source models, and efficient training frameworks. Based in Boulder, he seeks roles advancing vision-language foundation models, data curation, and AI-driven product innovation.
6 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Ramaiah Institute Of Technology
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Colorado Boulder
High School Diploma, A+, High School Diploma, A+ at Burn Hall School
Hindi, English, Kashmiri, Urdu