Keshav Varma
Production Engineer at RMN
Palo Alto, California, United States
Summary
🤩
Rockstar🎓
Top SchoolKeshav Varma is a Production Engineer with 11 years of experience building and operating large-scale systems from startup to hyperscale environments, currently based in Palo Alto and working at Meta/Facebook. He blends backend engineering and DevOps expertise—improving deployment reliability, healthchecks, and API tooling—while also contributing open-source integrations like a UniFi camera proxy that adds PTZ and AI-based Frigate support for non‑Ubiquiti cameras. As a founder of RMN and an early engineer at companies including Yummly and Playdom, he brings entrepreneurial drive and hands-on systems automation experience. His work emphasizes pragmatic reliability improvements and clearer operational UX for engineering teams. He holds an M.Eng. in Computer Science from Cornell, pairing formal training with a track record of shipping production-grade solutions. An underrated strength is his ability to bridge product-facing reliability work with low-level integration tinkering, from Docker image checks to camera stream handling.
11 years of coding experience
2 years of employment as a software developer
Cornell UniversityHenry M. Gunn
Telugu
Github Skills (19)
apim10
rtsp10
docker10
python10
configuration-management10
ffmpeg10
dockers10
api10
video-streaming10
marathon9
devops9
network8
tcp8
ip8
net8
Programming languages (10)
Github contributions (5)
keshavdv/unifi-cam-proxy
Apr 2018 - Oct 2022
Enable non-Ubiquiti cameras to work with Unifi NVR
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 reviews, 158 commits, 42 PRs in 4 years 6 months
Contributions summary:Keshav primarily contributed to the backend logic for integrating non-Ubiquiti cameras with the UniFi NVR system. Their work involved modifying the code to handle different camera types, specifically Hikvision and RTSP cameras. They implemented features such as PTZ controls, and support for full-time recording. Additionally, they focused on integrating Frigate, a home surveillance system that uses AI to detect objects from camera feeds.
cameranvrunifi-nvrunificameras
Yelp/paasta
May 2015 - Aug 2016
An open, distributed platform as a service
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:191 commits, 20 PRs, 27 pushes in 1 year 2 months
Contributions summary:Keshav primarily focused on enhancing the PaaSTA platform's functionality through modifications to configuration files and testing components. The contributions included implementing checks to improve the reliability of Docker image builds, fixing issues with the handling of healthcheck results, and improving the management of deployments and services by providing more specific statuses. They also worked on improving the user experience with the tools via clearer messages and added functionality for using the HTTP API.
mesosdockerplatform-as-a-servicedistributed-systemsmicroservices
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