Aneesh Agrawal is a Senior Software Engineer with 12 years of hands-on experience building scalable backends, ML systems, and mobile apps, currently shipping iOS features for Meta’s Superintelligence Labs and Instagram Reels Growth. He blends startup grit and enterprise discipline—co‑founding and single‑handedly building a SwiftUI/Firebase iOS product that hit Product Hunt’s top 10 while previously leading ML efforts to analyze football film with RetinaNet/Fast-RCNN and OpenCV. Aneesh is a pragmatic DevOps and automation contributor in prominent open-source projects (SaltStack, Servo, Cartography), improving CI/CD, boto3 integrations, and infrastructure tooling. Comfortable across back-end, ML, and front-end/React Native stacks, he’s now expanding into native iOS development to convert web ideas into polished mobile experiences. He brings a track record of shipping features to millions, a taste for sports analytics, and a penchant for improving developer workflows behind the scenes.
12 years of coding experience
7 years of employment as a software developer
High Technology High School
Bachelor of Engineering - BE Computer Science, Bachelor of Engineering - BE Computer Science at Cornell University
Cartography is a Python tool that pulls infrastructure assets and their relationships into a Neo4j graph database.
Role in this project:
Back-end Developer
Contributions:17 reviews, 8 commits, 15 PRs in 10 months
Contributions summary:Aneesh primarily contributed to improving the Cartography tool's backend functionality, focusing on data ingestion and processing. They addressed logging improvements related to parsing Python requirements files, enhancing the tool's robustness. The user also refactored and optimized existing code, fixing typing issues and adapting to the evolving codebase. Their contributions are crucial for the accurate and efficient analysis of infrastructure assets.
Servo aims to empower developers with a lightweight, high-performance alternative for embedding web technologies in applications.
Role in this project:
DevOps Engineer & Automation Engineer
Contributions:64 commits, 57 PRs, 878 comments in 3 years 2 months
Contributions summary:Aneesh primarily contributed to the project's CI/CD infrastructure and automation, demonstrating a focus on improving build processes and ensuring code quality. Their commits included adding Python 3 compatibility to existing scripts, cleaning up and refactoring CI bash scripts, and adding linters for shell scripts. The user also implemented features like a script to upload nightly packages to S3 and automated cleanup of old nightly builds, showcasing expertise in automating build and deployment workflows.
browserrustjavascriptbrowser-engineservo
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