Daniel Suchy
AI Program Lead at Najsport Slovakia
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolDaniel Suchy is an AI Program Lead and hands-on data scientist with 7 years of experience building production ML systems, LLM training pipelines, and commercial chatbots at Plotly and other organizations. He blends research-grade techniques (LLM fine-tuning, Stable Diffusion tooling, YOLO object detection, mocap-quality 3D pose synthesis) with product delivery—shipping generative web-layout algorithms, automated figure-description tooling, and high-traffic Dash applications. His work spans end-to-end systems from data pipelines and CI/CD to front-facing analytics used by tens of thousands daily, and he has a track record of turning prototypes into revenue-impacting features (e.g., customer retention and pricing lifts, and automated SEO gains). Equally comfortable leading teams and committing backend code (notably to the popular plotly/dash project), he focuses on making complex models accessible and actionable for business users. Based in London, he pairs an MSc in AI & Data Science with a physics background and a habit of creating unusually large, practical datasets (including a massive JA–EN corpus) to solve real-world language and vision problems.
6 years of coding experience
5 years of employment as a software developer
BSc Theoretical Physics, BSc Theoretical Physics at University of AberdeenMSc AI and Data Science, MSc AI and Data Science at University of Essex
French, Japanese, Slovak, English
Github Skills (10)
dashjs10
python10
flask-ask9
flask9
testing8
web-application7
webapp7
data-visualizations6
data-visualization6
data-visualisation6
Programming languages (6)
Github contributions (5)
plotly/dash
Sep 2021 - Apr 2024
Data Apps & Dashboards for Python. No JavaScript Required.
Role in this project:
Backend Developer
Backend DeveloperContributions:2 PRs, 6 pushes, 1 branch in 2 years 7 months
Contributions summary:Daniel primarily contributed to the backend functionality of the Dash application. Their commits focused on implementing a feature for adding startup routes, including the necessary setup and initialization processes. The user also addressed code style and formatting issues, including type annotations and applied the black formatter and linter for consistency. Further contributions included testing and ensuring the correct functionality of added routes.
pythonweb-appchartingflaskbioinformatics
plotly/graphing-library-docs
Aug 2021 - Jun 2022
Plotly's graphing libraries documentation.
Contributions:2 reviews, 122 commits, 6 PRs in 10 months
plotlyjsplotly-dashplotlydata-visualizationgraph
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.