Harsh Agrawal
Member Of Technical Staff at Anthropic
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolHarsh Agrawal is a Member of Technical Staff at Anthropic with 13 years of engineering and research experience building AI systems that use computers the way humans do. He holds a PhD in Computer Science from Georgia Tech and previously did ML research at Apple and Vercept, plus research internships at Google, NVIDIA, and Facebook AI. Harsh has strong full-stack and operational chops—he helped design and maintain EvalAI, an open-source challenge platform with thousands of contributors, millions of annual pageviews, and wide community adoption—bringing reproducibility and monitoring best practices to AI research. His background spans computer vision and language, distributed cloud infrastructure, and production-ready model tooling, rooted in long-term open-source stewardship from CloudCV to EvalAI. Based in Seattle, he combines academic rigor with hands-on DevOps and backend engineering, often focusing on authentication, metrics, and reliable integrations that quietly keep complex systems running. Colleagues describe him as someone who bridges research and production, making ML experiments repeatable and observable at scale.
13 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyMaster of Science (MS), Computer Engineering, Master of Science (MS), Computer Engineering at Virginia TechB.Tech, Computer Engineering, B.Tech, Computer Engineering at Delhi College of Engineering
English, Hindi
Github Skills (15)
rest-framework10
python10
django10
dockers9
docker9
testing9
logging9
monitoring9
cicd8
postgresql8
aws8
repr5
rep5
machine-learning4
ai4
Programming languages (6)
Github contributions (5)
Cloud-CV/EvalAI
Nov 2016 - Jun 2021
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:12 commits, 24 PRs, 32 pushes in 4 years 8 months
Contributions summary:Harsh primarily contributed to the back-end infrastructure and operational aspects of the EvalAI project. Their work included setting up environment variables, integrating code climate and adding testing support. The user also introduced user authentication using REST framework and integrated third-party services. Furthermore, they incorporated metrics and logging capabilities to improve monitoring and operational visibility.
pythondjangostate-of-the-artangular7tensorflow
Cloud-CV/mat-cloudcv
Aug 2013 - Sep 2017
Contributions:36 commits, 1 PR, 2 pushes in 4 years 2 months
apiapi-scloudcvmatlab
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