Jonathan Koessler

Background

About Jonathan Koessler

I am a results-driven Machine Learning Engineer with a strong foundation in computer science and hands-on experience in developing scalable, efficient, and GDPR-compliant machine learning solutions. Currently at Knecon Technologie GmbH, I lead initiatives that halve time-to-market for individual customer models by implementing pipelines on Azure ML, Kubernetes, and GitLab. My expertise extends to optimizing AI operations, introducing LLMOps practices for managing large language models, and leveraging Kubernetes for seamless model deployment, all while cutting ML service costs by 50%. Previously, as a working student at HMS Analytical Software, I honed my skills in SQL, Power BI, and Azure ML to build internal reporting systems and computer vision solutions, and supported training initiatives in Python, BI, and MLOps. My early career at doubleSlash Net-Business GmbH laid a solid foundation in process analysis, end-to-end testing, and API design within the automotive industry. With a Master’s degree in Business Informatics from the University of Mannheim, specializing in process mining and deep learning, and international exposure through an Erasmus exchange at Koç University, I bring a blend of technical acumen and business understanding. I am passionate about advancing AI/ML capabilities and enabling organizations to achieve their digital transformation goals efficiently and effectively.