- 📍 Paris, France
- ⚙️ Working on AI models optimization and deployment on resource-constrained devices for real-world applications.
- 🔭 Interests: AI Efficiency, Hardware-aware Optimization, MLC, Kernels, Runtimes, Cultural-AI, Ultrarunner⚡.
- 🌱 Currently learning: Rust, CUDA and OpenCL
- 🚀 Let's Connect: Linkedin
“Science can amuse and fascinate us all, but it is engineering that changes the world.” ~ Isaac Asimov
- diesimo-lab: An Open Research Lab for Edge Intelligence and Efficiency.
- edge-audio: An open and practical guide to Edge Audio.
- edge-language: An open and practical guide to Edge Language.
- edge-vision: An open and practical guide to Edge Vision.
- edge-multimodal: An open and practical guide to Edge Multimodal.
- edge-time-series: An open and practical guide to Edge Time Series.
- edge-agents: An open and practical guide to Edge Agents.
- TinyQ: A lightweight quantization module for PyTorch models.
- TinyP: A lightweight pruning module for PyTorch models.
- TinyC: A lightweight Compiler with LLVM backend.
- TinyI: A lightweight Python Interpreter.
- edge-ai-engineering: An open and practical guide to Edge AI Engineering.
- Edge AI End-to-End MLOps Stack: Edge AI End-to-End MLOps Stack.
- Edge AI Deployment Stack: Edge AI Deployment Stack.
- Edge AI Optimization Stack: Edge AI Optimization Stack.
- Edge AI Frameworks: Edge AI Frameworks.
- Edge AI Model Zoos: A list of production-ready models for resource-constrained devices.
- Edge AI Platforms: A curated list of resource-constrained platforms for efficient and local AI developments.
- Edge AI Benchmarking: A practical workflow and resources for Edge AI benchmarking and profiling.
- computer-science-notebook: A knowledge base bridging theorical with real-world applications.
- computer-vision-challenge: A hands-on collection of computer vision projects for everyone.
- computer-audition-challenge: A hands-on collection of computer audition projects for everyone.
- AI Efficiency Metrics Cheatsheet: Quick-reference guide on Efficient Computing & metrics for AI Systems.
- AI Performance Engineering Cheatsheet: AI Performance Engineering Cheatsheet: From Cloud to Edge.