Summary
Adam Szummer is a Staff Machine Learning Engineer and co-founder with nine years of experience applying deep learning and computer vision to industrial automation and enterprise AI. Currently leading work in a Physical AI Lab and building vectorlens.ai, he combines hands-on model development with production deployments on platforms like Databricks and end-to-end automation systems. His background spans automation, RPA, and data engineering across global on-site engagements (Mexico, USA, Europe, multiple African countries), which gives him practical fluency in cross-cultural communication and deployment realities. A generalist by trade, he has moved from BMC Remedy and PowerBI to pure Python, image recognition, and Android, and teaches applied AI and CV at Kozminski University. He thrives in fast-learning, highly agile environments focused on value delivery and enjoys the creative problem-solving process of turning visual data into operational advantage. Notably, his career blends presales and solution architecture experience with academic MSc training in Computer Vision, enabling both strategic vision and rapid technical execution.
9 years of coding experience
9 years of employment as a software developer
Master of Science (M.Sc.) Management Information Systems General, Master of Science (M.Sc.) Management Information Systems General at Clark University
Master's degree Computer Vision, Master's degree Computer Vision at Universitat Autònoma de Barcelona
Engineer's degree Computer Systems Networking and Telecommunications, Engineer's degree Computer Systems Networking and Telecommunications at Warsaw University of Technology
UPC Universitat Politècnica de Catalunya
Spanish, English, Polish