Jiaxiang C.

Data Scientist | Machine Learning

I am a Ph.D. student and AI researcher with a strong focus on deep learning, computational neuroscience, and Large Language Models (LLMs). Working daily in a high-paced research lab, I specialize in transforming raw data into reproducible, high-performing machine learning pipelines. Whether it's fine-tuning LLMs for specific downstream tasks or building complex computer vision models, I bring rigorous academic standards and engineering best practices to every project. Core Tech Stack & Skills: Deep Learning Frameworks: PyTorch (Primary), TensorFlow, Keras. LLMs & NLP: Model fine-tuning (LoRA, PEFT, Hugging Face transformers), sequence classification, and prompt optimization. Computer Vision & Medical AI: 3D/2D CNNs, Vision Transformers (ViTs), U-Net architectures, and neuroimaging (MRI) analysis using MONAI, SimpleITK, and nibabel. Data Science & MLOps: Python, Pandas, NumPy, Scikit-learn. Experiment tracking (W&B, TensorBoard), version control (Git), and environment management (Docker, Conda, Linux)