Thomas Bottesch

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.