Rohan Agarwal
AI ML at Console
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRohan Agarwal is an AI/ML engineer in San Francisco with five years of experience building production-grade intelligence that helps developers work faster and with less friction. He led Sentry’s Seer and Autofix efforts from prototype to product—shipping a reasoning platform, context graph, and frontend integrations that enabled automated root-cause analysis and code fixes used inside the company. His background spans research (awarded papers on human–AI creative collaboration at Georgia Tech), backend systems at Amazon, and biology-scale tooling at the Chan Zuckerberg Initiative, reflecting a rare blend of product, research, and domain-specific engineering. An active open-source contributor, he improved developer-facing UX in Sentry’s widely used repo by adding markdown-rendered outputs and review flows for Autofix. Before tech, he trained and exhibited as an artist (one piece shown at The Met), a perspective he brings to human-centered AI design. Currently building autonomous organizations at Console, he focuses on systems that make AI useful, collaborative, and trustworthy.
5 years of coding experience
6 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of TechnologyDual Enrollment Computer Science, Dual Enrollment Computer Science at Hunter CollegeHigh School Diploma, High School Diploma at Hunter College High School
English, Spanish, Hindi
Github Skills (12)
markdown10
typescript10
typescripts10
markdown-it10
front-end-development10
react10
typescript-types10
github9
ui-design9
interface-design9
user-interface9
testing8
Programming languages (8)
Github contributions (5)
getsentry/sentry
Jul 2024 - Apr 2025
Developer-first error tracking and performance monitoring
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:130 reviews, 297 PRs, 388 pushes in 8 months
Contributions summary:Rohan contributed to the Autofix feature, primarily working on frontend components. Their work involved adding markdown rendering support to the output, improving the display of code snippets, and refactoring the user interface for better clarity. They also implemented a new flow to allow users to review code changes and interact with the system to provide feedback or create pull requests. They integrated solutions with the summary section of the drawer.
monitorpythonsentrydjangoerror-monitoring
roaga/Hacklytics2021
Feb 2021 - Feb 2021
Hacklytics 2021
Contributions:43 commits, 35 pushes, 1 branch in 2 days
python
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