Tom-lucas Säger
Manager at KPMG Deutschland
Hamburg, Germany
Summary
🤩
Rockstar🎓
Top SchoolTom-Lucas Säger is a design-minded manager blending eight years of experience across consultancy, research and creative technology to help financial services adopt customer-centric, generative AI solutions. Currently at KPMG Deutschland he leads projects that bridge product design, intelligent technologies and organizational enablement, applying both agile and waterfall delivery methods. As a maintainer on the popular ml5.js project and creator of aiXdesign.space, he pairs hands-on front-end ML work with provocative research into how AI will reshape designers’ workflows. He has taught AI & Design at multiple universities and founded a studio to prototype conversational UIs and service experiences, demonstrating a rare mix of academic rigor (MA in Interaction Design, top grades) and practical product delivery. Colleagues value his ability to translate experimental ML demos into pragmatic strategies for clients.
8 years of coding experience
6 years of employment as a software developer
Master of Arts - MA, Kommunikationsdesign / Interaction Design, 1,03, Master of Arts - MA, Kommunikationsdesign / Interaction Design, 1,03 at Hochschule für Angewandte Wissenschaften Hamburg (HAW Hamburg)Bachelor of Arts (B.A.), Kommunikationsdesign, 1,48, Bachelor of Arts (B.A.), Kommunikationsdesign, 1,48 at Hamburg University of Applied Sciences
English, German, Swedish
Github Skills (7)
machine-learning10
javascript10
p5js10
front-end-development10
ui-design8
deep-learning7
neural-network5
Programming languages (5)
Github contributions (5)
ml5js/ml5-library
Dec 2020 - Mar 2022
Friendly machine learning for the web! 🤖
Role in this project:
Front-end Developer
Front-end DeveloperContributions:8 reviews, 23 commits, 18 PRs in 1 year 3 months
Contributions summary:Tom-lucas primarily focused on improving examples related to the ml5.js library. Their contributions include fixing title and heading mismatches in several p5.js examples, clarifying text in a comment, and adding a new example for k-means clustering with a focus on interactive mouse input. Furthermore, they updated the examples, ensuring correct functionality by fixing bugs related to input text and updating the links.
imagenetdeep-learninglstmjavascriptp5xjs
tlsaeger/not-made-by-robots
Jun 2021 - Feb 2023
Contributions:350 pushes, 7 branches in 1 year 8 months
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.