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  • Berlin, Germany
  • 19:32 (UTC +02:00)
  • Joined May 9, 2026

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johannesuth/README.md

Johannes Uth

Embedded AI · Computer Vision · ADAS
Building software for automotive perception systems.

About

Focused on embedded AI and computer vision for automotive applications. Background in software development, automation, and embedded systems, with a long-term direction toward ADAS and autonomous driving.

Current focus

  • Workflow automation with n8n and LLM APIs
  • Embedded systems and FPGA development (Vivado, Basys3)
  • Applied computer vision

Tech stack

Languages: Python · C · TypeScript · VHDL · Swift
AI & Automation: Anthropic API · n8n · OpenCV · Local LLMs (Ollama, LM Studio)
Embedded: FPGA · Arduino · Raspberry Pi
Tools: Git · Docker · Linux · macOS

Pinned projects below. Open to Werkstudent and internship opportunities in automotive AI/ADAS.

Pinned Loading

  1. moodle-ai-briefing-bot moodle-ai-briefing-bot Public

    Automated Moodle scraper with AI-generated summaries — n8n workflow using Anthropic Claude API

    JavaScript

  2. adas-lane-detection adas-lane-detection Public

    Lane detection on KITTI dashcam imagery — classical CV (OpenCV/Hough) and YOLOPv2, side-by-side, with quantitative IoU benchmarking against KITTI ground truth.

    Jupyter Notebook