Professional Overview
Computer Vision Engineer with hands-on industry experience at Zeiss Meditec and deep expertise in Vision Transformers, DINOv2, and 3D geometry. Skilled in designing and implementing deep learning pipelines for pose estimation, segmentation, and spatial understanding using PyTorch. Open to remote opportunities.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Developed CV systems for medical image application using deep learning.
- Designed and implemented image processing pipelines for 3D spatial analysis
- Built a camera calibration GUI tool for intrinsic parameter estimation
- Collaborated with cross-functional teams to integrate CV systems into production
Education
Field of Study: Computer Vision, Machine Intelligence
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
