
Worked on performance optimization of AI agent workloads in the huggingface/blog repository, focusing on the Qwen3-8B agent running on Intel Core Ultra processors. Developed a feature that applied depth-pruned draft models and speculative decoding to accelerate inference, targeting real-world deployment scenarios. Integrated these optimizations with the smolagents library, providing practical code examples and usage patterns to facilitate adoption in production environments. Utilized Python and YAML for implementation, leveraging skills in AI agent development, LLM optimization, and model pruning. The work emphasized technical clarity and reproducibility, supporting both technical writing and hands-on engineering for advanced CPU-based AI applications.
September 2025 monthly summary for hugggingface/blog focusing on performance optimization of AI agent workloads on advanced CPUs. Delivered a feature to optimize Qwen3-8B agent running on Intel Core Ultra using depth-pruned draft models and speculative decoding. Implemented practical integration with the smolagents library, including concrete code examples and usage patterns to support real-world agent applications and demos.
September 2025 monthly summary for hugggingface/blog focusing on performance optimization of AI agent workloads on advanced CPUs. Delivered a feature to optimize Qwen3-8B agent running on Intel Core Ultra using depth-pruned draft models and speculative decoding. Implemented practical integration with the smolagents library, including concrete code examples and usage patterns to support real-world agent applications and demos.

Overview of all repositories you've contributed to across your timeline