Junior Biomedical Engineer

I improved a CT liver-vessel segmentation model using nnU-Net, dataset fusion, and label refinement. This increased the pseudo-Dice score from 0.60 to 0.82, exceeded the target, and supported deployment of the model in the company's software.

I designed and documented a clinical statistics module based on 3D segmentations, covering density, morphology, shape, and texture. I also contributed to an LLM-based Qwen surgeon-support chatbot, participated in vascular and bronchial tree skeletonization and geometric-metrics extraction for an EIC lung-cancer project, and worked under CE-marking traceability practices using snapshot testing and Markdown documentation.

I work on engineering and software development projects alongside my studies. I provided remote diagnostics through TeamViewer for an AVT PrintVision/Apollo print-inspection system, identifying and resolving a software issue for an industrial client.

I diagnosed an electronic control-board fault involving the clutch and brake of an industrial plastic bag-sealing machine. I also developed an email-driven quotation automation project, the company's corporate website and brand identity, and an industrial software solutions catalog.

Expected graduation in 2027. Coursework includes computational techniques, medical imaging fundamentals, pathophysiology, and signal and medical image processing. Practical training includes dataset processing and curation, outlier handling, deep learning architectures, CT, MRI, and human anatomy.