Ionut Manta
Senior Engineering Manager at Adobe
Bucharest, Romania
Summary
🤩
Rockstar🎓
Top SchoolIonut Manta is a Senior Engineering Manager based in Bucharest with a decade-plus track record leading software teams at Adobe and previously heading engineering at 1&1 Internet. He combines hands-on technical roots—from early web development to technical leadership—with current management of large-scale product engineering, focusing on reliability and cross-platform testing. An active contributor to high-profile open-source projects like PyTorch, he has improved Windows test reliability and benchmarking utilities, demonstrating attention to portability and developer experience. Known for bridging product needs and engineering rigor, he brings practical delivery focus along with an eye for making complex systems testable and maintainable.
3 years of coding experience
16 years of employment as a software developer
Iulia HasdeuMaster, Master at Universitatea din București113
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (16)
windows10
testing10
python10
test-automation10
numpy9
c-language7
cprogramming-language7
race-condition6
github-ci6
githubaction-workflow6
conditional-statements6
mutex6
machine-learning5
deeplearning-ai4
deep-learning4
Programming languages (6)
Github contributions (5)
pytorch/pytorch
Nov 2022 - Jan 2023
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:11 reviews, 4 commits, 42 PRs in 2 months
Contributions summary:Ionut primarily contributed to the improvement of testing within the PyTorch repository. They focused on enabling and re-enabling tests, particularly those related to reductions, metaprogramming, and the profiler, often addressing issues specific to the Windows platform. Furthermore, they fixed benchmark utilities and addressed file path issues related to Windows FileStore, ensuring that tests and other utilities function correctly across different operating systems. Their contributions demonstrate a focus on ensuring the reliability and portability of the PyTorch codebase.
pythongpu-accelerationdeep-learninggpunumpy
mantaionut/builder
May 2023 - Sep 2024
Continuous builder and binary build scripts for pytorch
Contributions:148 pushes, 10 branches in 1 year 3 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.