Summary
Albert Święcicki is an ML Software Engineer with a decade of experience building and deploying machine learning systems across research and industry, currently at Google working on Document AI. He combines strong Python and C++ skills with hands-on MLOps and cloud deployment experience from roles at Amazon (TTS and AWS-based pipelines) and Nokia, and a research background in medical imaging from Duke University. A pragmatic engineer comfortable with PyTorch, TensorFlow, MLflow, and Linux/hardware integration, he routinely coordinates cross-team workflows using version control, CI/CD, and agile practices. Outside of product work he runs a popular coding-interview education venture that recently grew its audience by thousands and reaches nearly a million users, and is preparing for a full-distance Ironman during a gap year—evidence of his discipline and appetite for long-term challenges.
10 years of coding experience
3 years of employment as a software developer
Engineer's degree, Computer Science, 5, Engineer's degree, Computer Science, 5 at Wroclaw University of Science and Technology