Crossing the gap between
ideas and real-world systems.
Engineering Embedded AI Systems.




Crossing the gap between
ideas and real-world systems.
Engineering Embedded AI Systems.
About
Engineer, builder, systems thinker.
I build systems that bridge hardware and intelligence — from high-frequency vibration data acquisition on industrial machines to real-time computer vision on drones. My work spans embedded firmware, machine learning pipelines, PLC/SCADA commissioning, and full-stack software.
Currently finishing my B.Eng. in Intelligent Systems Design at Hochschule Hamm-Lippstadt while working as a working student in R&D Software at SOMIC. I care about building things that work reliably in the real world, not just in the lab.
Current Focus
Real-time object detection with YOLO for industrial automation, drone-based visual inspection, and edge ML deployment on embedded hardware.
Languages
Embedded & Hardware
Automation & Industry
ML & Data
Infrastructure
Web
Projects
Selected work across embedded systems, ML, and software engineering.
Experience
Where I've built, shipped, and learned.
Working Student — R&D Software
SOMIC Verpackungsmaschinen GmbH & Co. KG
Building real-time computer vision systems for industrial packaging machinery, from drone-based live feeds to production line analysis.
Project Engineer — PLC-SCADA Commissioning
Triad Ltd. | Luxury Yacht Clelia III
Onboard commissioning of PLC-SCADA automation infrastructure on a 34.95m motor yacht using Siemens TIA Portal.
Bachelor Thesis — R&D Embedded ML
SOMIC Verpackungsmaschinen GmbH & Co. KG
Developed a high-frequency vibration data acquisition and ML-based parameter optimization system for industrial packaging machines.
Working Student — Full-Stack Software Development
Kaldewei GmbH & Co. KG
Designed and independently developed a web-based inventory management application from requirements analysis through production deployment.
Intern — Information Systems Engineering / Automated Energy Control
Innocept Mobility
Developed load management systems for EV charging stations and Raspberry Pi-based energy metering solutions.
