Surya Dwivedi
Software Engineer at Meta
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolSurya Dwivedi is a software engineer with a decade of experience building ML-driven infrastructure and database features, currently shaping ads ranking and feature-testing systems at Meta. He holds an MS in Computer Science from UT Austin and contributed to CERN’s ROOT project by implementing and validating a GRU end-to-end model within the ROOT/TMVA ecosystem—highlighting hands-on ML research applied to large-scale scientific tooling. At Oracle he owned spatial 3D TIN/MESH creation and visualization features for the database org, blending backend, storage and geometry processing expertise. Known for driving efficiency, he launched a feature-testing framework at Meta that unlocked over $12M in infra savings via feature deprecations. Based in Austin, he is passionate about databases, backend systems and practical ML engineering.
10 years of coding experience
4 years of employment as a software developer
MS, Computer Science, 3.8/4, MS, Computer Science, 3.8/4 at The University of Texas at AustinKendriya Vidyalaya SangathanB.Tech, Computer Science, 9.1/10, B.Tech, Computer Science, 9.1/10 at Indian Institute of Technology, Kharagpur
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (11)
machine-learning10
c-language10
gru10
cprogramming-language10
data-analysis9
tensorflow9
root-view8
document-root8
python7
statistics7
parallel7
Programming languages (3)
Github contributions (5)
root-project/root
Jun 2019 - Aug 2019
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Role in this project:
ML Engineer
ML EngineerContributions:8 commits, 8 PRs, 13 comments in 2 months
Contributions summary:Surya implemented and tested a GRU (Gated Recurrent Unit) end-to-end model within the ROOT framework, including both CPU and reference implementations. The code changes involve the creation of a test suite for GRU backpropagation, demonstrating a focus on recurrent neural network architectures. The contributions cover forward and backward pass implementations for the GRU layer, and incorporate a test suite using the TMVA library to validate the implementation.
pythonroot-cernmathematicsc-plus-plusscientific-visualization
surya2191997/surya2191997.github.io
Apr 2019 - Dec 2023
Contributions:86 pushes, 1 branch in 4 years 8 months
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