Kapil Garg
Postdoctoral Scholar at UC Irvine
Irvine, California, United States
Summary
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Senior🎓
Top SchoolKapil 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.
11 years of coding experience
5 years of employment as a software developer
Northside College Preparatory High SchoolDoctor of Philosophy - PhD, Computer Science and Communication Studies, Doctor of Philosophy - PhD, Computer Science and Communication Studies at Northwestern University
Stackoverflow
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Github Skills (36)
objective-c10
ios10
swift10
macos10
xcode9
cocoapods9
carthage8
django8
django-cms8
dtr7
python7
docker7
matching6
meteor5
api5
Programming languages (8)
Github contributions (5)
NUDelta/dtr-web
Jan 2022 - Jul 2024
Northwestern's Design, Technology, and Research (DTR) Program Website
Contributions:4 reviews, 46 PRs, 37 pushes in 2 years 6 months
northwesternreactundergraduate-researchdtr
NUDelta/low-effort-sensing-backend
Feb 2017 - Aug 2018
Node.js + Parse Server backend for Low-Effort Sensing (LES) deployed via Heroku and mLab.
Contributions:2 PRs, 87 pushes, 7 branches in 1 year 7 months
herokueffortsensingnode-jsparse-server
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