Suryatej Vyalla
Research Engineer at Matic
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolSuryatej Vyalla is a research engineer and Georgia Tech CS master's student with nine years of experience building ML-driven systems and production infrastructure across industry and academia. He has shipped tooling adopted by researchers at MIT, IIITD, and TCS Research, contributed to an AI-focused database (evadb) with CI/CD and Docker deployments, and worked on evaluation and infra at Matic. His background spans end-to-end ML engineering—3D perception, Siri modeling, unsupervised log-filtering for Adobe—and full-stack service work using Python, C++, JavaScript, Django, Docker, Redis, and databases. He co-founded a marketing-tech company where he led technical and go-to-market efforts, demonstrating both product instincts and hands-on engineering. Known for bridging research and production, he combines rigorous academic results (multiple publications, 4.0 at Georgia Tech) with pragmatic delivery in high-impact environments.
9 years of coding experience
4 years of employment as a software developer
Class XII AISSCE CBSE, 96.6, Class XII AISSCE CBSE, 96.6 at Our Own English High School Sharjah, UAEMaster's degree, Computer Science, 4.0, Master's degree, Computer Science, 4.0 at Georgia Institute of TechnologyBachelor's degree, Computer Science, 9.35, Bachelor's degree, Computer Science, 9.35 at Indraprastha Institute of Information Technology, Delhi
Stackoverflow
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Github Skills (13)
python10
cicd10
dockers9
jenkins-ci9
docker9
packaging9
jenkins9
databases8
documentation8
database8
postgresql8
ai7
llm7
Programming languages (8)
Github contributions (5)
georgia-tech-db/evadb
Sep 2021 - May 2022
Database system for AI-powered apps
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:44 reviews, 6 commits, 38 PRs in 7 months
Contributions summary:Suryatej contributed to the database system for AI-powered apps by fixing bugs in UDFs related to unnesting and array dimensions, and setting up the necessary Docker configuration. They added a new documentation structure, including tutorials and documentation for adding new operators. Their work also involved moving the project to Jenkins and pushing packaging to production, indicating responsibilities in CI/CD and deployment processes.
image-classificationvideogpt-4evaexploratory-video-analytics
suryatejreddy/eva
Sep 2021 - Jun 2023
Exploratory Video Analytics System
Contributions:11 PRs, 509 pushes, 18 branches in 1 year 8 months
video-analyticsanalyticsexploratorymachine-learningvideo
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