MSc student in Signal Processing and Machine Learning at Nanyang Technological University, Singapore.
I work on applied AI and computer vision, with experience spanning medical-imaging workflows, multimodal learning, embedded systems, and machine-learning experiments.
- Computer vision and medical imaging
- Deep learning with Python and PyTorch
- Image preprocessing, segmentation, and evaluation
- Multimodal learning and applied machine learning
- FPGA and embedded AI systems
- AI/ML: Python, PyTorch, deep learning, computer vision, multimodal learning
- Medical Imaging: image preprocessing, segmentation, DICOM/NIfTI, SimpleITK
- Embedded & Hardware: FPGA, Verilog, Vivado, Zynq, Raspberry Pi, signal processing
- 3D CT analysis workflows for vertebral-fracture classification and quantitative imaging
- Multimodal pathology, molecular, and clinical-data modeling for cancer prognosis
- Computer-vision components for a Raspberry Pi autonomous robot
- FPGA-based signal processing and AI acceleration
Open to AI Engineer, Machine Learning Engineer, Computer Vision Engineer, and Applied AI Engineer internship or junior opportunities in Singapore.
Some research and medical-imaging implementations remain private because they involve confidential or ongoing work.
- LinkedIn: Yanchen Ji