
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior AI Leader & Principal Engineer | Scalable ML Systems • Edge AI • MLOps • Cloud (GCP/AWS) | Built AI on 1B+ Devices
I’m a senior AI leader and hands-on engineer based in Dresden, Germany, with 16+ years of experience designing, deploying, and scaling production-grade machine learning systems — both in the cloud and on highly resource-constrained devices. My work sits at the intersection of AI strategy, systems architecture, and deep technical execution. I’ve led international AI teams, defined company-wide AI roadmaps, and personally built core ML infrastructure used on ~1 billion devices worldwide. Technically, I specialize in end-to-end ML systems: data pipelines, model training, evaluation, deployment, monitoring, and optimization under real-world constraints (latency, memory, cost, compliance). I’ve built MLOps platforms from scratch, designed Kubernetes-based training workflows, and deployed ML pipelines on GCP and AWS, achieving up to 80% cost reduction through architectural optimization. A core highlight of my career has been developing a high-performance C-based prediction library with microsecond inference latency and ~100 KB footprint, enabling ML on embedded and consumer devices where traditional frameworks don’t fit. I remain deeply hands-on—typically splitting my time 50/50 between leadership and coding—with strong proficiency in Python and C, experience with PyTorch, and ongoing work with generative AI tools for software development and automation. I enjoy building strong teams, mentoring engineers, and turning cutting-edge research into reliable, scalable products. Always curious, pragmatic, and focused on impact.
Ulm University
Doctor of Philosophy (Ph.D.), Artificial Neural Networks
January 1, 2014 – January 1, 2020
Stevens Institute of Technology
Master Thesis, Computer Science
January 1, 2009 – January 1, 2010
Westfälische Hochschule
Master’s Degree, Computer Science
January 1, 2007 – January 1, 2010
Westfälische Hochschule
Bachelor’s Degree, Computer Science
January 1, 2004 – January 1, 2007
Gen™
Sr. Manager Artificial Intelligence
April 1, 2021 – May 1, 2026
Gen™
Manager Artificial Intelligence
September 1, 2019 – April 1, 2021
Gen™
Team Lead AI Research
March 1, 2017 – September 1, 2019
Gen™
Lead Expert Artificial Intelligence Researcher
June 1, 2015 – March 1, 2017
Gen™
Lead Artificial Intelligence Researcher
May 1, 2010 – June 1, 2015
Institute for Internet Security
Student Research Assistant
June 1, 2006 – March 1, 2010
Gelsenkirchen, Germany
Introduction to Parallel Programming
Udacity
June 24, 2026 – Present
Artificial Intelligence for Robotics
Udacity
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's extensive background is heavily skewed towards Artificial Intelligence and Machine Learning research and management. While 'Security' is listed as a skill in their recent roles, the core responsibilities and academic background are not primarily in security engineering. The early career experience at the Institute for Internet Security is a positive indicator, but it is dated. This suggests a potential mismatch with a dedicated Security Engineer role unless the role heavily involves AI/ML security or the candidate is looking to transition and upskill significantly in core security domains.
Soft Skills & Operational Fit
The candidate's experience in leadership, hiring, and teamwork, as indicated in their work history, suggests strong soft skills. Their long tenure at Gen™ in various AI roles demonstrates operational stability and growth within an organization. However, the primary focus on AI/ML might require a pivot in operational focus towards dedicated security engineering practices.