About

Merly Abondano is a highly skilled senior software engineer with over 16 years of experience in the computer software industry. She is currently employed at TRADUI Technologies GmbH, where she focuses on predictive analytics, machine learning, Java EE, Python & Javascript, and MLOps. Merly has a deep knowledge of neural networks and Docker technology, making her a valuable asset to any team. Merly's expertise extends to various programming languages, including Java, Python, JavaScript, Pearls, Groovy, Delphi, C++, Matlab, AutoCAD, and numerical simulation. Her strong background in quality assurance and her experience in software development make her a reliable and efficient team player. Merly has a Master of Science degree in Electronics from Universidad Simón Bolívar. She also holds a Diplom-Ingenieurin (Dipl.Ing.) in Electrical Engineering and Electronics and a Research Doctorate in Acoustics and Metallurgical Engineering from RWTH Aachen University. Merly's past work experience includes working as a Development Test Engineer at inform GmbH - Optimization Software, where she focused on Delphi development, Docker technology research and development, Kubernetes, and programming in Java, Python, Perl, and GO. She also worked as a Professor at Universidad Bicentenaria de Aragua, where she taught courses on neural networks, deep learning, AI, control systems, electronics, and digital signal processing. Merly's diverse skill set and experience make her a well-rounded professional who can contribute to a variety of software development projects. Her technical expertise includes software engineering, Python, Java, neural networks, QA, Docker, JavaScript, ML, SDET, test, research scientist, AI, and deep learning. Merly is passionate about her work and is always eager to learn and grow in her field.