Dr.-Ing. Thomas Pöllabauer-Berkei

Profile

Technical Lead and AI specialist with expertise in Computer Vision, Machine Learning, and cloud-native AI infrastructure. Experienced in leading industrial AI projects from research and prototyping to scalable deployment in production environments. Strong background in applied research, software architecture, MLOps, and technical leadership with experience across manufacturing, AR/VR, and infrastructure domains.

Core Competencies

Machine Learning • Computer Vision • MLOps • Kubernetes • Cloud-Native AI • Technical Leadership • Industrial AI • Synthetic Data • CI/CD • Applied Research • Software Architecture • Distributed Systems

Experience

Technical Lead Predictive Maintenance and AI
PROFI Engineering Systems AG
(2025 - currently)

• Leading software and AI development for industrial predictive maintenance solutions.

• Designing scalable system architectures for cloud-native and AI-driven applications.

• Acting as domain expert for Machine Learning, Computer Vision, and applied AI systems.

• Driving technical strategy, infrastructure decisions, and development workflows.

• Leading infrastructure and deployment initiatives based on Kubernetes and OpenShift technologies.

Research Scientist Computer Vision and Machine Learning
Fraunhofer Institute for Computer Graphics Research IGD
(2020 - 2024)

• Conducted applied research and industrial technology transfer in Computer Vision and Machine Learning.

• Designed and implemented state-of-the-art solutions for object detection, pose estimation, segmentation, and classification.

• Led and contributed to industry collaborations in manufacturing, robotics, AR/VR, automotive, and infrastructure domains.

• Developed synthetic data generation pipelines and domain adaptation approaches for robust AI systems.

• Built scalable training and inference infrastructures for real-world industrial deployment.

• Supervised student research projects and contributed to academic teaching activities.

• Published peer-reviewed research in Computer Vision, Machine Learning, and 3D Vision.

Research Assistant
Fraunhofer Institute for Computer Graphics Research IGD
(2018 - 2020)

• Supported research and development projects in Computer Vision and Visual Computing.

• Worked on optimization, automation, and continuous integration workflows.

• Assisted in the development of experimental software prototypes and evaluation pipelines.

Education

Doctor of Engineering in Computer Science and AI
Technical University of Darmstadt
(2023 - 2025)

Master of Science in Visual Computing
Technical University of Darmstadt
(2017 - 2020)

Bachelor of Science in Computer Science
Technical University of Berlin
(2013 - 2017)

Skills

• Expertise
Computer Vision, Machine Learning, Deep Learning, Industrial AI, Synthetic Data Generation, 2D Object Detection, 6D Pose Estimation, Semantic Segmentation, Classification, 3D Scene Reconstruction, Neural Rendering, Generative AI, Domain Adaptation, Few-/Zero-Shot Learning, Edge AI, High-Performance Computing (HPC), MLOps, Cloud-Native AI Infrastructure.

• Programming & Technologies
Python, C/C++, Java, SQL, HTML/CSS, Bash/Zsh, Linux, Git, Docker, Kubernetes (K8s), OpenShift, SLURM, CI/CD, PyTorch, TensorFlow, Keras, NumPy, Scikit-learn, Pandas, OpenCV, LaTeX.

• Infrastructure & DevOps
Experience with cloud-native infrastructure, container orchestration, GitOps workflows, automated deployment pipelines, and scalable AI infrastructure. Operating and maintaining a private Kubernetes homelab cluster for testing, experimentation, infrastructure development, and self-hosted services.

• Research & Leadership
Technical Leadership, Software Architecture, Applied Research, Scientific Writing, Research Supervision, Project Management, Customer Collaboration, Technical Presentations, Technology Transfer, Cross-Functional Teamwork.

• Languages
German (native), English (professional proficiency).

Selected Achievements

• Magna Cum Laude PhD in Computer Science and AI.

• Published 20+ peer-reviewed papers in Computer Vision and Machine Learning.

• Awarded best project at the BMW-Fraunhofer Innovation Program.

• Built scalable AI systems spanning research prototypes to production-ready deployments.

Links and Resources

Personal Projects

Contact

To discuss opportunities, please contact me via the following email address. Thank you.

Email: contact (at) this domain

Website: thomaspoellabauer.com

Impressum