Marcin Mejran is a highly experienced leader in engineering, machine learning, and data science, with over 15 years of expertise across multiple industries. He has a proven track record of overseeing, building, and motivating teams to tackle large-scale, business-critical projects. His experience in both machine learning and data science, as well as data engineering, backend engineering, and infrastructure, make him a well-rounded expert in the field. Marcin's focus on adopting data-driven approaches and maintaining high engineering quality has made him a valuable contributor to all of the organizations he has worked with. His areas of expertise in search, recommendation systems, predictive modeling, and natural language processing have allowed him to spearhead production deployments of both deep learning and traditional machine learning systems. Marcin's education includes a Bachelor's Degree in Mathematical and Computational Science and a Master's Degree in Statistics, both from Stanford University. His experience and knowledge in recent technologies such as PyTorch, Tensorflow, AWS, Spark, Python, Scala, Terraform, Kubernetes, Airflow, NoSQL, and SQL have helped organizations advance in their technology endeavors.