Belal Abulabn

Development of a multithreaded C++ (CMake) ECU and rest-bus simulation framework for automotive testing (CAN/CAN-FD, Ethernet, tachograph simulation). Python data pipelines for CAN log analysis and ML models for detection/classification; LLM-related projects. CI/CD pipelines (GitLab, Jenkins, Docker), Spring Boot microservices and Azure deployments. Agile Scrum team.

Trained, fine-tuned and deployed computer vision and OCR models (CNNs) – from dataset curation and labeling to evaluation and deployment. Developed a customer-facing RAG chatbot (embeddings, vector retrieval, LLMs). Built data augmentation pipelines in Python (NumPy, OpenCV) and curated large annotated image datasets.

Agile development of Java Spring Boot applications. Built CI and automated end-to-end test pipelines (Selenium) to shorten feedback cycles and improve the reliability of microservice-based systems.

Programming and commissioning of test electronics for actuators and sensors: microcontroller firmware in C, a Java desktop UI for device configuration and test workflows, acquisition and live visualization of analog sensor signals, and design/validation of power-electronic control circuits.

Validated embedded C software components; designed and tested sensor signal-conditioning circuits for industrial measurement applications.

Master's thesis at the Institute for Industrial Automation and Software Engineering (IAS): "Automating Safety and Risk Management with Large Language Model Agents" (grade 1.3). Research projects: real-time frequency analyzer (PicoScope, Python/C++, grade 1.3) and LLM quantization in industrial automation.

Bachelor's thesis at ETO Magnetic GmbH: "Programming and Commissioning of Test Electronics for Actuators and Sensors".