Sayak Paul
Data ScientistML at @huggingface | One PR at a time
huggingface
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ML at @huggingface | One PR at a time
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 19, 2026 – Present
finetrainers
September 25, 2024 – Present
Scalable and memory-optimized training of diffusion models
View ProjectStreamDiffusion
November 28, 2023 – December 4, 2024
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
View Projectpeft
November 25, 2022 – Present
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
View Projectdiffusers
May 30, 2022 – Present
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
View Projectacademic_advisory
March 21, 2018 – June 12, 2020
Collected opinions and advice for academic programs focused on data science skills.
View ProjectPapers-Literature-ML-DL-RL-AI
January 16, 2018 – February 18, 2023
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on cutting-edge AI/ML research and development, particularly in generative models and optimization. This aligns well with a research-intensive or innovative data science culture. However, the projects are predominantly personal and open-source contributions, with limited visibility into collaborative team dynamics or business-oriented problem-solving. The experience level is listed as 0, which contradicts the current role at Hugging Face, suggesting a data inconsistency. The breadth of technologies is strong within the ML/DL domain, but there's less evidence of diverse data engineering, business intelligence, or traditional statistical modeling projects, which might be a consideration for broader data science roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.