Michalis is a Machine Learning and Full Stack Engineer who specializes in developing intelligent solutions that drive significant operational improvements in the tech and digitization sectors. His expertise lies in applying advanced machine learning and analytical thinking to solve complex problems, acting as a versatile “Swiss army knife” for technical challenges.

He applies his skills to complex data environments, with a focus on challenges within the pharmaceutical sector. This includes designing frameworks for extracting key information from laboratory documents and structuring it in advanced systems like vector databases. Such expertise is essential for developing next-generation AI tools, including RAG (Retrieval-Augmented Generation) chatbots for enterprise knowledge management.

This forward-looking work is built on a proven track record of execution; previously, he designed and implemented an entire machine learning-driven system that increased a large team’s efficiency by 4-5 times, directly boosting profit margins. Currently working as ML Engineer at Indigital and also pursuing a degree in Electrical and Computer Engineering at the National Technical University of Athens (NTUA), Michalis combines rigorous technical training with a meticulous attention to detail. He is driven to build solutions that are optimized for both peak efficiency and intuitive design.