Surya Dwivedi
Senior Software Engineer at Snowflake
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
5 years of employment as a software developer
MS Computer Science, MS Computer Science at The University of Texas at AustinKendriya Vidyalaya SangathanB.Tech Computer Science, B.Tech Computer Science at Indian Institute of Technology, Kharagpur
Github Skills (11)
machine-learning10
gru10
c-language10
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.
big-datadata-analysisroot-cernrootc-plus-plus
surya2191997/surya2191997.github.io
Apr 2019 - Dec 2023
Contributions:86 pushes, 1 branch in 4 years 8 months
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