Irem Eldeleklioglu
Software Engineer II at Microsoft
Prague, Prague, Czechia
Summary
🤩
Rockstar🎓
Top SchoolIrem Eldeleklioglu is a Software Engineer II based in Prague with three years of professional experience building production-grade systems at defense and cloud-scale companies. Currently at Microsoft she has focused on Arm on Windows ecosystem work, progressing from Senior Engineer into an II-level software engineering role while contributing to build and release automation. Her open-source contributions to the high-profile PyTorch project centered on enabling Windows Arm64 CI/CD — adding nightly wheel and libtorch builds and scripting toolchain bootstraps to make GPU-accelerated Python builds reproducible. She combines low-level build-system fluency with practical automation skills, having fixed platform-specific issues like APL integration and Sleef toggles to streamline large-scale builds. A Bilkent Computer Science graduate, she brings a background in embedded/defense systems from Aselsan and HAVELSAN that informs her pragmatic approach to reliability and cross-platform engineering.
3 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at Bilkent Üniversitesi
English, German, Russian, Turkish
Github Skills (18)
pytorch10
python10
windows10
cicd10
build-automation10
arm10
cmake9
rust7
gpu6
docker6
dockers6
machine-learning5
neural-network4
deep-learning3
deeplearning-ai3
Programming languages (5)
Github contributions (5)
pytorch/pytorch
Jan 2023 - Jan 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:11 reviews, 2 commits, 32 PRs in 1 day
Contributions summary:Irem's primary contributions focused on enabling and improving the build process and CI/CD pipelines for the PyTorch project, specifically targeting Windows Arm64 platforms. This involved adding nightly builds for both wheel and libtorch packages. The user implemented scripts to bootstrap the necessary build tools, Python environments, and dependencies, and also corrected issues to streamline the build process. Key actions included updating the build configuration to include APL (Arm Performance Libraries) and disabling and then re-enabling Sleef.
pythongpu-accelerationdeep-learninggpunumpy
iremyux/pytorch
Feb 2023 - Apr 2025
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:362 pushes, 82 branches in 2 years 1 month
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