Younes Hjouji
Founder at Overshoot (YC W26)
United States
Summary
🤩
Rockstar🎓
Top SchoolYounes Hjouji is an AI/ML and full-stack engineer and founder based in the Netherlands with four years of production experience building scalable, user-focused systems. At Intel he redesigned a machine learning execution engine to support 5–10× more concurrent users on the same hardware and cut operational costs by 75%, while also accelerating dataset pipelines by up to 120× and removing data contamination. As an independent builder he created Mon Élevage, a multilingual AI-powered dairy farm management platform with a WhatsApp chatbot optimized for low-connectivity environments, and launched the NPM Leaderboard, a real-time web app surfacing trends in the JavaScript ecosystem. He blends deep learning, NLP, and computer vision expertise with hands-on full-stack development to move models from research into resilient, cost-effective production systems. Known for pragmatic engineering that balances performance and accessibility, he’s open to opportunities where AI-driven products directly improve user outcomes.
4 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Al Akhawayn University
Arabic, English, French
Github Skills (19)
semi-supervised-learning10
incremental-learning9
self-supervised-learning9
image-segmentation9
transfer-learning9
quantization8
raw-image8
automl8
image-classification7
pytorch7
openvino7
nvidia7
machine-learning7
xpu7
computer-vision7
Programming languages (1)
Github contributions (2)
younesintel/training_extensions
Feb 2022 - Feb 2022
Trainable models and NN optimization tools
Contributions:1 push in 1 day
optimizationoptimization-toolsmachine-learning
open-edge-platform/geti
Feb 2022 - Feb 2022
Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, with CPU, Intel XPU, and NVIDIA CUDA support.
Contributions:1 commit, 3 PRs, 1 branch in 1 day
computer-visioncudainferencenvidiaraw-image
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