Projects

A selection of research and engineering projects spanning medical imaging, computer vision, and agentic AI systems.

Research · Master's Thesis

4D Medical Image Compression

Developed a novel compression algorithm for 4D medical imaging data (e.g. 4D MRI/CT sequences) as part of my Master's thesis. The method achieved an 18% improvement in compression ratio over NJPEG 2000 while maintaining diagnostic image quality — reducing storage and transmission overhead for clinical imaging pipelines.

Python Medical Imaging Image Compression 4D MRI Computer Vision

Healthcare AI · Computer Vision

Medical Image Tracking & Segmentation

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Built a computer vision pipeline for tracking and segmentation of structures in clinical medical images. The system enables precise delineation of anatomical regions across imaging sequences, supporting downstream diagnostic and treatment planning workflows in a healthcare setting.

Python OpenCV TensorFlow Image Segmentation Object Tracking Healthcare AI

Agentic AI · DevOps

Agentic SDLC Pipeline

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Designed and built an LLM-orchestrated software development lifecycle pipeline that automatically provisions isolated sandboxes for each deployment and test run. The agentic system manages environment setup, test execution, and teardown — reducing manual DevOps overhead and enabling safer, reproducible deployments.

LLMs LangChain Python Agentic Systems Sandboxing CI/CD

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