Alex Şuhan
Sunnyvale, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAlex Şuhan is a performance-focused software engineer with 15 years' experience solving latency and throughput challenges at the intersection of hardware and software. Based in Sunnyvale, he pairs deep C++ systems expertise with pragmatic prioritization to deliver performance wins that change product behavior, not just cut costs. His open-source contributions include low-level work on PyTorch/XLA to enable TPU support and performance optimizations in HeavyDB's SQL engine and radix sort, reflecting a strong track record in both ML infrastructure and database engines. A persistent tinkerer comfortable in build systems, gradient handling, and memory- and code-generator-level refactors, he brings an engineer’s discipline from his Computer Science degrees in Bucharest to production-grade systems.
15 years of coding experience
"Politechnica" University of BucharestM Sc, Computer Science, M Sc, Computer Science at University of Bucharest
Github Skills (27)
pytorch10
c-language10
operation10
python10
tensorrt10
databases10
query-optimization10
machine-learning10
tensorflow10
performance-optimization10
sql10
xla10
swift10
tensor10
cprogramming-language10
Programming languages (10)
Github contributions (5)
heavyai/heavydb
Dec 2014 - Oct 2020
HeavyDB (formerly OmniSciDB)
Role in this project:
Back-end Developer
Back-end DeveloperContributions:2809 commits, 31 PRs, 255 pushes in 5 years 11 months
Contributions summary:Alex's commits primarily focus on performance improvements to the core radix sort and SQL execution engine in the HeavyDB database. The contributions involved refactoring code, optimizing memory usage and adding support for features, specifically the handling of null values for hash joins and supporting left-deep joins. The changes include enhancements to the code generator, improvements to various runtime functions, and the addition of tests to validate the new functionalities.
cudareal-timevisualizationgpuheavyai
tensorflow/swift-apis
Feb 2020 - Jul 2020
Swift for TensorFlow Deep Learning Library
Role in this project:Back-end Developer
Back-end DeveloperContributions:57 commits, 112 PRs, 184 pushes in 4 months
Contributions summary:Alex primarily contributed to the Swift for TensorFlow Deep Learning Library. Their work included initial imports of code, such as support for TPU, and making minor adjustments to existing files. They also addressed compilation warnings and header order. Additionally, the user worked on implementing functions within the library's API.
differentiable-programmingswift-for-tensorflowdeep-learningmachine-learningdeep-learning-library
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