Dataviz developer ✧ Freelance | Open for projects
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
huggingface
Data Scientist
June 26, 2026 – Present
alignment-handbook
August 25, 2023 – Present
Robust recipes to align language models with human and AI preferences
View Projecttext-generation-inference
October 8, 2022 – Present
Large Language Model Text Generation Inference
View Projectdeep-rl-class
April 21, 2022 – Present
This repo contains the Hugging Face Deep Reinforcement Learning Course.
View Projectdatasets
March 26, 2020 – Present
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
View Projecttokenizers
November 1, 2019 – Present
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
View Projectpytorch-image-models
February 2, 2019 – Present
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
View Projecttransformers
October 29, 2018 – Present
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
View ProjectCultural Fit Analysis
The candidate's profile shows a strong alignment with a research-heavy, open-source, and innovation-driven culture, particularly within the AI/ML domain. Their extensive contributions to Hugging Face projects (transformers, datasets, text-generation-inference, tokenizers, alignment-handbook, deep-rl-class, notebooks) demonstrate a deep commitment to the ecosystem and a collaborative mindset. However, the lack of diverse project types outside of core ML/AI development might indicate a narrower focus, which could be a weakness depending on the specific team's needs for broader system design or cross-functional collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong technical focus and ability to contribute to complex open-source initiatives, but direct evidence of collaboration, problem-solving under pressure, or communication style is not available.