Rohan Wadhawan is a machine learning researcher and UCLA MS student specializing in multimodal chatbots, generative AI, and vision-language models, with eight years of industry and research experience. He combines hands-on model fine-tuning and benchmark design—co-authoring ConTextual evaluations presented at ICML and CVPR—with production-focused engineering from prior roles at Samsung R&D. At UCLA he built novel context-sensitive benchmarks and experimented with preference optimization to reduce hallucinations in LMMs, while also teaching large NLP courses and mentoring diverse students. He collaborates internationally with IIT Delhi’s Neurocomputing Lab and brings a pragmatic lens from shipping deep-learning features in flagship smartphone camera pipelines. Based in Los Angeles, he is passionate about translating multimodal research into impactful products and startup ideas.
8 years of coding experience
6 years of employment as a software developer
Bachelor of Technology Computer Engineering, Bachelor of Technology Computer Engineering at Netaji Subhas Institute of Technology
Genetic Algorithm for securing a placement or internship by providing a combination of activties with maximum benefit
Contributions:13 commits, 2 PRs, 11 pushes in 3 years
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Rohan Wadhawan - Machine Learning Researcher at Abridge