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AsadRahu60/README.md

👋 Hi, I'm Asadullah Rahoo (@AsadRahu60)

🎯 Junior Test / Validation Engineer | Computer Vision & AI | Embedded & Robotics 📍 Germany | Open to Junior & Entry-Level Roles


🏷️ Technical Focus

Python C/C++ Embedded Robotics Testing QA AI PyTorch Linux Git CI


👨‍🔧 Professional Profile

I am a Computer Science (M.Sc.) graduate with an Electronics background, focused on testing, validation, and quality assurance of embedded, robotic, and software systems.

My Master's thesis delivered a production-ready AI annotation system (TARA) integrating YOLOv8, SAM, DeepSORT, and TransReID — achieving an 18× speedup over manual annotation.

My strength lies in system-level thinking — validating behavior, testing interfaces, verifying sensor data, and ensuring reliability across software–hardware boundaries.


🚀 Featured Projects

🏆 TARA — Automatic Annotation Tool for ReID Dataset (Master's Thesis)

Production-ready AI desktop application · Universität Passau · 2024-2025

🔗 View on GitHub

An end-to-end automated annotation pipeline for Person Re-Identification datasets, built on top of LabelMe with a full Qt GUI.

What Result
Annotation speed 18× faster than manual (10s/frame vs 120–180s)
Best detection precision 0.9229 (Hybrid YOLO + SAM)
Best mAP 0.6457 (Hybrid + TransReID)
Tracking accuracy IDF1 85.4% (DeepSORT)

Tech stack: Python · PyTorch · YOLOv8/v11 · SAM · FastReID · TransReID · OSNet · DeepSORT · PyQt5 · OpenCV · threading · pytest

Key engineering highlights:

  • Modular detection → tracking → ReID pipeline with live frame preview
  • Thread-safe QThread architecture with GPU memory guard & CPU fallback
  • CLAHE preprocessing for low-light robustness
  • Full evaluation: MOTA, MOTP, IDF1, Precision, Recall, mAP
  • Unit test suite + centralised config + model validator on startup

🔹 Eye-Adaptive Lens System

Electronically tunable embedded system prototype

  • Embedded control logic · Configuration profiles · System validation & fault handling

🔹 Sensor Fusion System (ROS2)

IMU + LiDAR sensor integration with safety monitoring

  • Modular ROS2 architecture · Sensor validation · Safety monitoring node

🧪 Testing & Validation Skills

  • Test Engineering: Test case design, execution, defect reporting
  • Embedded Testing: ESP32, Arduino, UART / I²C / SPI
  • Robotics Validation: ROS2 nodes, sensor fusion, safety monitoring
  • Software Testing: Manual testing, API testing, unit testing (pytest)
  • Test Automation: PyTest, Playwright (E2E)
  • CI & Tooling: Git, GitHub Actions, Linux

🛠 Technical Stack

Languages: Python, C/C++, Bash AI / CV: PyTorch, OpenCV, YOLOv8, SAM, DeepSORT, FastReID, TransReID Frameworks & Tools: ROS2, PyTest, Playwright, Postman, PyQt5 Systems: Linux, Embedded Linux basics Domains: Computer Vision, Embedded Systems, Robotics, QA / Validation


🎓 Currently Improving

  • ISTQB Foundation Level (testing fundamentals)
  • Embedded & Robotics system validation
  • Structured test documentation (German QA standards)

🤝 Open To

  • Junior Test Engineer / Validation Engineer roles
  • Computer Vision / AI Engineer roles
  • Embedded & Robotics testing positions
  • Automotive, Industrial, MedTech, R&D environments

📫 Contact

📧 asadullahrahoo1998@gmail.com 💼 GitHub: https://github.com/AsadRahu60

Pinned Loading

  1. Eye-Adaptive-Lens-System Eye-Adaptive-Lens-System Public

    Electronically tunable per-eye focus + LC occlusion (R&D prototype).

    Python 1

  2. QA-Portfolio- QA-Portfolio- Public

    Portfolio-Projects

    Python

  3. sensor_fusion_system sensor_fusion_system Public

    C++