Todor Krastev

As a freelance technical advisor and software developer, I designed AI-powered image processing pipelines for real-time animal detection and tracking. I developed a web-based control interface for IoT-enabled farm infrastructure and implemented a backend database system for managing dynamic, animal-specific access rules. The solutions combined edge computing with centralized control, enhancing operational efficiency and automation.

As a Final Test Engineer at Robert Bosch GmbH, I maintained and extended a C# test framework for MEMS sensor validation in high-reliability automotive production. I integrated new test procedures, ensured interface stability with embedded devices, and supported mechanical test setups. My work contributed to improved production workflows and cross-functional software solutions.

During my doctoral research at the University of Tübingen, I developed AI-based methods for automating Atomic Force Microscopy (AFM) in biological applications. My work focused on deep learning–driven segmentation of single-cell images to enable precision scanning and manipulation. I integrated custom models into existing laboratory workflows and collaborated with interdisciplinary teams to advance system-level automation.