Alex Girard is a seasoned software engineer with 14 years of hands-on full-stack and AI/ML experience, currently working remotely from Koh Samui, Thailand. He has a strong track record in deep learning integration and web-facing APIs, contributing to projects like DeepDetect and tooling for NVIDIA Jetson devices where he improved networked telemetry and robustness. At JoliBrain he bridged front-end demos and backend services, shipping usable ML demos and tightening API integrations; as a freelancer he has delivered pragmatic solutions for global open-source audiences. Comfortable across C++14, Python, and web stacks, he combines low-level performance work with user-focused interfaces and deployed AI solutions. Notably, his contributions to jetson_stats show an eye for operational stability and real-world deployment concerns often overlooked in research prototypes.
14 years of coding experience
15 years of employment as a software developer
Software engineering, Software engineering at Sheffield Hallam University
DUT Informatique, spécialité Génie Logiciel, Computer Science, DUT Informatique, spécialité Génie Logiciel, Computer Science at IUT de Vannes
Deep Learning API and Server in C++14 support for PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
Role in this project:
Full-stack Developer
Contributions:20 commits, 14 PRs, 5 branches in 6 years 4 months
Contributions summary:Alex primarily contributed to the `imgdetect` demo, focusing on front-end and API integration. They implemented the user interface, integrated with the DeepDetect API for image classification, and handled error messages and user feedback. Their work involved replacing dependencies, integrating with CDN, and correcting bugs.
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
Role in this project:
Back-end Developer
Contributions:7 commits, 3 PRs, 3 comments in 1 month
Contributions summary:Alex primarily contributed to the `jtop_server.py` script within the repository, implementing features and fixing bugs related to serving Jetson statistics over a network. Their work included adding command-line arguments for host and port configuration, and implementing an HTTP response. Additionally, the user fixed a bug related to fan attribute checking and modified socket handling for improved stability. These changes indicate a focus on improving the functionality and accessibility of the Jetson stats server.
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