Description

Raja Judeh is a seasoned SW Architect with a strong background in AI/ML infrastructure development. Currently serving as the SW Architect for AI Infrastructure at his current organization, he leads the R&D team in designing and implementing cloud-based solutions to support AI/ML lifecycle infrastructure in Healthcare. With previous experience as a Machine Learning Applications Developer and a Deep Learning Engineer, he has a proven track record of spearheading the development of AI-powered platforms for medical research and in production. His expertise extends to designing and implementing complex solutions in robotics for perception-grasping pipelines, object detection, segmentation, and motion planning, showcasing his proficiency in cutting-edge AI technologies.

Having completed his Master's in Neuroengineering with a focus on artificial intelligence, Raja possesses a solid educational foundation complemented by hands-on experience in the field. His academic achievements, including a Bachelor's in Biomedical Engineering, reflect his dedication to the intersection of technology and healthcare. With a diverse background encompassing research, development, and technical leadership roles, he continues to drive innovation in AI and ML, making significant contributions to the field.

Languages

English
Native or bilingual

Workplace preferences

Remote only

Primarily works remotely

CARL ZEISS MEDITEC AG
SW ARCHITECT AI INFRASTRUCTURE
MEDICAL
July 2024 - Today (1 year and 11 months)
Munich, Germany
Lead SW architect responsible for designing and implementing cloud-native architectures supporting the full AI/ML lifecycle in medicine and life sciences — from data ingestion and management to model development, deployment, and monitoring.

Key Achievements:
Designed and implemented a secure, cloud-native secondary-use data management platform supporting advanced analytics, AI-driven insights, and the development of digital twins in Ophthalmology and Microsurgery.
Architected the cloud-based AI-powered research platform platform (The ZEISS Research Data Platform) that unifies ophthalmic research and clinical data, enabling scalable data aggregation, custom algorithm training, and AI-powered analysis to accelerate medical research and discovery.
Architected a cloud-native, compliant platform for deploying and serving predictive and generative AI models in production at scale.
Microsoft Azure Data Engineer artificial intelligence Tech Lead Cloud architect
CARL ZEISS MEDITEC AG
MACHINE LEARNING APPLICATIONS DEVELOPER
MEDICAL
December 2022 - June 2024 (1 year and 6 months)
Munich, Germany
Lead developer and technical product owner within the AI/ML R&D team, responsible for designing, implementing, and maintaining AI-powered cloud solutions in production.

Key Achievements:
Delivered a secure and scalable R&D data management platform, enabling efficient AI-driven research and streamlined data workflows across teams.
Architected and developed GenAI-based applications leveraging LLMs and RAG pipelines, accelerating insight generation and enhancing knowledge retrieval.
Led the design and deployment of an AI-based ophthalmic diagnosis application, improving clinical decision support and advancing research capabilities.
Tech Lead Python software architect artificial intelligence Machine learning
V-R-ROBOTICS
DEEP LEARNING ENGINEER
RESEARCH
May 2020 - November 2022 (2 years and 6 months)
Munich, Germany
Computer vision and AI engineer at a service robotics startup. Responsibilities: designing and implementing a solution architecture for a perception–grasping pipeline, including (few-shot) object detection and segmentation, keypoint detection, object tracking, 6DOF grasp detection, point cloud processing, and motion planning. Designing and implementing an MLOps pipeline solution covering the AI lifecycle of AI-based perception and grasp detection algorithms, including data ingestion, data annotation, model selection and training, model evaluation, CI/CD pipelines, continuous monitoring and training.
Deep Learning Pytorch Tech Lead Start-up software architect