Ahmed Refaat

Designing and implementing high-performance, scalable C++ analytics software to power advanced AI-driven marketing attribution. My work focuses on providing accurate, privacy-compliant tracking of customer interactions across multiple channels. Develop ML-based attribution models and custom user-matching methods, including clustering and graph-based approaches. Additionally, I identify and resolve architectural bottlenecks, optimize performance, and create advanced bots using machine learning techniques.

Algorithm Development for trajectory prediction, modeling expected behaviour and Traffic situation interpretation

Hardware acceleration for compressed convolutional neural network using FPGA platform

Department: Electronic Build Test Fahrerassistenzsysteme (ADAS), Electronic Build Test - Working on development tasks for system integration and verification of the drivee assistant system - Test automation development and execution

Create matlab tool for processing measurments

Test Automation

Automotive Software Engineering

Embedded Systems