Marcel Samyn
Software Engineer & Designer at Dream Coach Match
Ghent Metropolitan Area Belgium
Summary
🤩
Rockstar🎓
Top SchoolMarcel Samyn is a multidisciplinary software engineer and designer with 12 years of experience who blends deep engineering chops with theatre-honed communication to make complex AI and automation accessible. Based in Ghent, he has built production-grade front-end experiences (notably contributing UI improvements and snapshot tests to DataCamp's interactive learning repo) and shipped multimodal AI prototypes while advising large clients like KPMG. As a fractional CTO, technical lead, and contractor he focuses on process-driven automation, product strategy, and persuasive technical storytelling that boosts adoption and revenue. He runs a 6-month AI Accelerator and offers targeted assessments, translating technical possibilities into human-centered change. Colleagues describe him as a present partner who surfaces hidden potential in teams and products, applying a performer’s empathy to engineering problems. Beyond code, his work is guided by a Conscious Technologist ethos that favors human flourishing alongside intelligent automation.
12 years of coding experience
4 years of employment as a software developer
Master of Science (MS), Computer Science Engineering, Master of Science (MS), Computer Science Engineering at Ghent University
Dutch, English, French
Stackoverflow
25reputation
5kreached
0answers
3questions
Github Skills (13)
typescript10
typescripts10
react10
typescript-types10
html9
css9
ajax6
error-handling6
svg6
javascript6
mongodb6
backgrounds6
google-closure6
Programming languages (16)
Github contributions (5)
datacamp/datacamp-light
Sep 2017 - Jun 2018
Convert any blog or website to an interactive learning platform for data science
Role in this project:
Front-end Developer
Front-end DeveloperContributions:4 releases, 36 commits, 1 PR in 9 months
Contributions summary:Marcel primarily focused on front-end development, specifically improving the interactive learning platform's user interface. Their commits addressed issues within the exercise loading mechanism, modifying the handling of HTML tags and comments to ensure correct rendering and prevent unintended element removal. Furthermore, the user implemented snapshot testing for several React components, enhancing the reliability of the application's front-end. Finally, they integrated the ability to support HTML plots and included the option to display the "Run" button to the exercise.
pythonlearning-platformsciencedata-scienceinteractive-learning
iamarcel/jmb
Mar 2019 - Nov 2024
Contributions:25 pushes, 1 branch in 5 years 9 months
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