Responsibilities:- Enhanced a knowledge-discovery framework for statistical analysis, data processing, and simulation optimization within AI-driven autonomous driving product development using Python and advanced machine learning libraries- Improved framework usability through the creation of new workflows and code updates, ensuring adaptability and effortless future deployments- Led the development of a web-based software solution that integrates data sampling, machine learning model training, result plotting, and model evaluation and interpretation- Employed Python Streamlit to craft an intuitive front-end interface, guided by user feedback to enhance usability and functionality- Facilitated departmental organization by orchestrating training courses and workshops, proficiently utilizing a suite of MS Office applications

Collaborated in a team for an AI project on medical datasets, with a focus on: - Data augmentation through knowledge transfer in GANs- Application of transfer learning in VGG19 networks for advanced dataset classification