Summary
Marcos Ziegler is a data scientist and software-oriented electronics engineer with a decade of engineering experience and 3+ years focused on professional programming and machine learning. He combines a strong mathematical and algorithmic foundation with hands-on expertise across Python, PyTorch, Keras, LangChain, Docker, Azure and AWS to build end-to-end ML solutions from embedded systems to cloud services. At Anyone AI and MetLife he delivered projects ranging from fine-grained vehicle classification on a million-image dataset to credit risk and salary prediction models, routinely deploying services with Docker and Redis. His background in C/C++, ARM Cortex-M4 and firmware gives him uncommon depth for production ML engineers working at the hardware-software boundary. Highly curious and tenacious, he enjoys collaborative teams and automating workflows to scale models into reliable products. Based in Vicente López, Buenos Aires, he is actively expanding his AI toolset and shares his projects on GitHub.
10 years of coding experience
3 years of employment as a software developer
Engineer's degree, Electrical and Electronics Engineering, Engineer's degree, Electrical and Electronics Engineering at Universidad de Buenos Aires / UBA
Machine Learning Developer Program, Artificial Intelligence, Professional Certificate, Machine Learning Developer Program, Artificial Intelligence, Professional Certificate at Anyone AI
German, English, Spanish, Portuguese