Machine Learning Engineer with experience designing and optimizing AI solutions from research through production-ready stages. My background combines biomedical engineering with advanced AI/ML development, including deep learning architectures such as Vision Transformers, classical ML algorithms, and computer vision. I have applied MLOps tools like MLflow, Weights & Biases, DVC, and worked with AWS, HPC, and CUDA to build scalable and reproducible pipelines. My work has led to practical impact, by using clinical data. I am motivated by translating state-of-the-art research into real-world applications and open to opportunities across diverse industries.