Srevin Saju
Software Engineer - Inference at Magic
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSrevin Saju is a software engineer specializing in inference and cloud-scale architecture with seven years of experience building and optimizing infrastructure on Google Cloud, AWS, and bare-metal systems. Currently at Magic, he has rotated through infrastructure, sandboxes, and inference roles, bringing practical supercomputing and deployment expertise to production ML workloads. Previously at Sorcero he led a migration from AWS/Heroku to GCP, redesigned core services to cut costs by 90%, and turned multi-hour releases into minutes using Terraform-based automation. A longtime open-source contributor and Linux enthusiast (yes, he runs Arch), he has improved tooling like go-appimage and hardened runtime environments for projects such as Archivy and AppImage. He combines hands-on DevOps, backend engineering, and IaC skills with a track record of measurable operational improvements and SOC II–aware security practices. Based in San Francisco, he’s motivated by removing friction in developer workflows—aptly summarized on GitHub as “when deploy?”
7 years of coding experience
5 years of employment as a software developer
Student, Computer Science, Student, Computer Science at The New Indian SchoolBachelor of Technology - BTech, Computer Science and Engineering, Bachelor of Technology - BTech, Computer Science and Engineering at Vellore Institute of Technology
Japanese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (26)
filesystem10
python10
bash10
file-operations10
automation10
go10
fileio10
golang10
automations10
devops10
appimage10
cicd9
error-handling9
cli9
elasticsearch8
Programming languages (21)
Github contributions (5)
archivy/archivy
Aug 2020 - Feb 2022
Archivy is a self-hostable knowledge repository that allows you to learn and retain information in your own personal and extensible wiki.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:60 reviews, 44 commits, 17 PRs in 1 year 5 months
Contributions summary:Srevin primarily focused on improving the project's build and runtime environment. They implemented checks and automated processes within the `start.sh` script to ensure proper virtual environment activation, Python installation validation, and package management. Furthermore, the user made changes to configuration and data handling, including specifying data storage locations. They also made contributions related to code style and used external tools to maintain the codebase.
pythonarchivynote-takingknowledgeproductivity
probonopd/go-appimage
Sep 2020 - Sep 2021
Go implementation of AppImage tools
Role in this project:Backend & DevOps Engineer
Backend & DevOps EngineerContributions:11 reviews, 10 commits, 19 PRs in 1 year
Contributions summary:Srevin primarily focused on fixing bugs and improving the build process for the `go-appimage` tool. They addressed issues related to architecture detection, handling of git repositories, and the inclusion of illegal characters in build scripts. The user also refactored and restructured the codebase, introduced dependency management using `cli`, and improved the file existence check methods. These commits demonstrate a focus on maintaining the tool's stability, and functionality.
golangstillgoappimage
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