Marcel Tiator
Solution Architect at HeptaSphere GmbH
Kaufbeuren, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolMarcel Tiator is a Solution Architect with nine years of experience building AI-enabled embedded and cloud systems, currently shaping product architecture at HeptaSphere after leading research at Sontheim. He combines low-level C/C++ firmware and high-performance cloud AI with rapid prototyping in Matlab and Python, plus TypeScript-based Electron apps, enabling end-to-end solutions from device to dashboard. His work focuses on predictive maintenance across servers, printers, and vehicle interfaces, pairing practical cross-compilation tooling with production-grade build systems like CMake. With a doctoral focus in applied computer science on 3D programming and computer vision, he brings deep expertise in ML for images, point clouds, meshes, and text. Marcel is also developing skills in team management, customer engagement, testing strategies, and product development, bridging research and industry delivery. Colleagues describe him as a developer who enjoys taking ownership of complex systems and translating academic advances into deployed products.
9 years of coding experience
Dr. rer. nat. Angewandte Informatik: 3D Programmierung & Computer Vision, Dr. rer. nat. Angewandte Informatik: 3D Programmierung & Computer Vision at Düsseldorf University of Applied Sciences
German, English
Github Skills (35)
pointnet9
pygad9
lidar8
genetic8
partition8
evolutionary-algorithms8
genetic-algorithm8
autoencoder7
segmentation7
clustering7
self-organizing-map7
optimization7
descriptor7
abaqus6
python6
Programming languages (1)
Github contributions (5)
mati3230/smartsegmentation
Nov 2019 - Dec 2020
Point Cloud Segmentation with Deep Reinforcement Learning
Contributions:25 commits, 2 PRs, 28 pushes in 1 year 1 month
deep-learningreinforcement-learningdeep-reinforcement-learningpoint-cloud-segmentationpoint
mati3230/pc_data_generator
Nov 2019 - Dec 2020
Contributions:10 pushes, 1 branch, 1 comment in 1 year 1 month
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