Hamed Elahi

Developed high-performance software solutions for optical 3D profilometers used for nanometer-precision surface measurement of semiconductor components. Implemented GPU-accelerated algorithms using CUDA and optimized software architecture for CPU and GPU parallel processing.

Developed MicroOCR, a lightweight high-performance OCR engine for embedded and edge deployment in document scanners, achieving over 99% character accuracy at under 20 ms processing time per page on CPU only. Designed and developed a complete end-to-end OCR pipeline in Python/PyTorch with deployment via ONNX Runtime.

Developed an optical measurement method for determining particle concentrations in gases and liquids behind light-scattering plastic walls. Implemented data analysis algorithms in C and C++ and applied scientific computing methods for modeling optical measurement systems.

Developed an AI-based approach for a nano-measurement machine. Implemented machine learning methods to optimize measurement processes and developed data analysis and modeling algorithms in Python.

Developed a Java-based software tool for automated software testing. Implemented image processing algorithms for UI-based test automation and developed web-based testing solutions for software quality assurance.

Developed a Python-based automated software testing system. Implemented computer-vision-based test algorithms and developed a web-based application for automated quality inspection.

Migrated a Bluetooth communication system from Python 2 to Python 3. Developed software for communication with Mooshimeter measurement devices and implemented data acquisition and file transfer interfaces.

Developed a text mining software for customer review analysis. Applied natural language processing (NLP) methods for product analysis and developed algorithms for product improvement and market analysis.

Developed software for controlling an acousto-optic modulator for a Nano Measuring Machine (NMM-1). Implemented control algorithms in MATLAB.

Developed MATLAB-based production planning software. Optimized production processes to reduce bottlenecks and operational costs, and managed projects using MS Project.

Introduced a preventive maintenance system to minimize machine downtime. Implemented 5S process optimization and conducted time studies and process analysis.

Master of Science in Industrial Engineering (Mechanical Engineering) from Technische Universität Ilmenau, completed in 2020. Thesis focused on a self-optimizing Peltier temperature control system using a MicroPython microcontroller.

Bachelor of Science in Industrial Engineering from Sadjad University of Technology, completed in 2011.