Alvaro Somoza
Machine Learning Engineer at Hugging Face
Santiago, Santiago Metropolitan Region, Chile
Summary
🤩
Rockstar🎓
Top SchoolAlvaro Somoza is a Machine Learning Engineer and seasoned Computer Engineer with over 20 years in application development and cloud/Linux infrastructure, now focused on generative AI for text, image, and music. Based in Santiago, he combines hands-on backend and desktop app development (React, Node.js, Python, PyQT6) with contributions to Hugging Face’s high-profile diffusers library, where he’s implemented and fixed IP-Adapter functionality for SDXL and ControlNet pipelines. He has led engineering teams and IT strategy across multiple companies, built production-ready image-generation tools that support custom training and advanced conditioning, and even compiled Linux from scratch—a sign of deep systems-level expertise. Keen to expand into Rust, he balances open-source collaboration, tutorials, and code review with pragmatic product delivery.
11 years of coding experience
15 years of employment as a software developer
Ingeniería, Computer Engineering, Ingeniería, Computer Engineering at Universidad Tecnológica de Chile, INACAP
Github Skills (11)
net10
diffusion-models10
diffusion-probabilistic10
pytorch10
deeplearning-ai10
stable-diffusion10
deep-learning10
python10
diffusers10
diffusion-probabilistic-models10
text2image10
Programming languages (2)
Github contributions (5)
huggingface/diffusers
Jul 2023 - Jun 2026
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Role in this project:
ML Engineer
ML EngineerContributions:1 release, 194 reviews, 92 PRs in 2 years 11 months
Contributions summary:Alvaro contributed to the `diffusers` repository, focusing on implementing and fixing issues related to IP-Adapter functionality within Stable Diffusion XL (SDXL) and ControlNet pipelines. Their commits involved modifying code within the pipelines, specifically concerning how image embeddings are handled and integrated. The user addressed issues related to compatibility and correct implementation of the IP-Adapter, ensuring proper functionality across different pipeline configurations.
audiodiffusersdiffusion-modelspytorchdeep-learning
asomoza/diffusers
Dec 2023 - Apr 2026
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Contributions:242 pushes, 37 branches in 2 years 4 months
audiodiffusersdiffusion-modelspytorch
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