Kapil Garg is a Postdoctoral Scholar at UC Irvine with 11 years of experience blending human-computer interaction, social computing, and machine learning to build socio-technical systems that improve access to visual information for blind and low-vision people. His work spans field ethnographies and large-scale surveys to prototype development and model fine-tuning, including human-in-the-loop evaluations of vision-language models and LoRA-tuned VLMs and segmentation models for interactive figure exploration. He previously developed Situated Practice Systems to help workers self-direct and develop durable work practices, shipping tools and platforms (JavaScript, Next.js, Tailwind, MongoDB) evaluated at CHI and CSCW. Comfortable moving between qualitative methods and rigorous quantitative analyses, he has delivered production-facing prototypes (Yellkey, Pair Research) and led interdisciplinary teams at industry and academia. An interesting through-line is his knack for translating deep ethnographic insight into concrete technical artifacts that measurably improve real-world workflows and accessibility.
12 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science and Communication Studies, Doctor of Philosophy - PhD Computer Science and Communication Studies at Northwestern University
Contributions:15 PRs, 58 pushes, 20 branches in 6 years 8 months
northwesterndeltanorthwestern-universityjekylllab
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