Summary
Carlos Solorzano is an AI software engineer and PhD candidate in Industrial Engineering and Management specializing in computer vision for semiconductor manufacturing, with nine years of experience bridging mechatronics, pharmaceutical manufacturing, and industrial AI. He develops deep learning solutions for defect and anomaly detection, product counting and measurement, and has published two IEEE papers demonstrating industry-relevant image-based AI innovations. Proficient in PyTorch, TensorFlow, OpenCV and OpenVINO, Carlos moves models from research to production in dynamic industrial settings and recently completed a postdoc at National Tsing Hua University before joining GLÜCK TECH. His background in mechatronics gives him practical systems intuition that complements his algorithmic strengths, enabling robust, deployable solutions for complex manufacturing challenges.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Industrial Engineering and Management, Doctor of Philosophy - PhD Industrial Engineering and Management at Yuan-Ze University
Licentiate degree Mechatronics Engineering, Licentiate degree Mechatronics Engineering at Universidad del Valle de Guatemala