Viraj Mavani
Software Engineer at Meta
Bellevue, Washington, United States
Summary
👤
Senior🎓
Top SchoolViraj Mavani is a software engineer with nine years of experience building large-scale distributed systems and ML platforms, currently working on P2P content distribution in Meta’s Core Systems group. He previously designed and operated fraud- and credential-compromise detection systems at AWS, blending microservices, MLOps, and distributed-systems design to protect customers across regions. His background includes applied ML research at IIT Gandhinagar with publications at top vision venues and a hands-on ML internship at 7‑Eleven, reflecting strong ML + systems fluency. Viraj also contributes open-source tools like Anno-Mage, a semi-automatic image annotation web app where he implemented UI/UX features and bbox editing to speed labeling workflows. Based in Bellevue, WA, he holds an MS in Computer Science from UT Dallas and a BE in Electronics and Communications, combining academic rigor with production-grade engineering. Colleagues would describe him as a pragmatic coder who enjoys turning research ideas into reliable, scalable systems.
9 years of coding experience
5 years of employment as a software developer
Masters of Science Computer Science, Masters of Science Computer Science at The University of Texas at DallasBachelor of Engineering (B.E.) Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electronics and Communications Engineering at L.D. College of Engineering
English, Hindi, Gujarati
Github Skills (10)
tkinter10
image-annotation10
python10
tensorflow9
deep-learning9
user-interface9
keras9
automations8
automation8
computer-vision8
Programming languages (5)
Github contributions (5)
virajmavani/semi-auto-image-annotation-tool
May 2018 - Apr 2020
Anno-Mage: A Semi Automatic Image Annotation Tool which helps you in annotating images by suggesting you annotations for 80 object classes using a pre-trained model
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:46 commits, 3 PRs, 54 pushes in 1 year 11 months
Contributions summary:Viraj primarily contributed to the development of the semi-automatic image annotation tool, Anno-Mage. Their work included adding new functionalities, solving bugs, and implementing UI improvements. Key changes involved updating the codebase for compatibility, adding a zoom view panel, and implementing BBox update functionality. The user also added precision cross-hairs and keybindings for navigation.
annotation-tooltensorflowimage-annotation-toolannotationsemi
virajmavani/virajmavani.github.io
Apr 2019 - Sep 2022
Contributions:71 commits, 66 pushes, 1 branch in 3 years 5 months
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