Vaibhav Balloli is a PhD candidate and Graduate Research Assistant at the University of Michigan with nine years of industry and research experience at the intersection of Human-Centered AI and AI for Social Good. His current work designs and evaluates agentic large language model systems for healthcare, blending rigorous HCI methods with applied ML research. He has a sustained research relationship with Microsoft through multiple fellowships and a research internship, bringing experience translating lab ideas into industry-facing prototypes. Trained as an engineer at BITS Pilani, Vaibhav combines systems thinking from ECE with human-centered evaluation to tackle real-world health problems. Notably, his profile reflects a rare mix of long-term industry engagement alongside doctoral research, positioning him to move innovations from concept to deployment.
9 years of coding experience
BITS Pilani, Birla Institute of Technology and Science
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Michigan
ICSE Class X, 92.3%, ICSE Class X, 92.3% at Ramadevi Public School
NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch. Find explanation at tourdeml.github.io/blog/
Contributions:17 releases, 77 commits, 7 PRs in 1 year 5 months
pytorchclippingadaptivesgddeepmind
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