I have experience of applying machine learning (deep learning, NLP and CV) to both industry projects and self-motivated projects. [GitHub]

InfoBeyond Technology LLC, Research Scientist Intern, 2023-12 to 2024-05

• Research and Develope advanced AI technologies.

Purdue University, Graduate researcher. 2023-10 - 2023-12. [DagsHub Repo] [Paper] [Slide] [GitHub Repo]

1st Place - 2023 ML@Purdue X DagsHub Machine Learning Hackathon Advanced Track

• Performed replication and ablation studies on a novel federated learning (discentralized machine learning) algorithm. “Towards Understanding Biased Client Selection in Federated Learning”. [Orginal Paper]

The Data Mine, Purdue University. Graduate Research Assistant. 2023-05 - 2023-12.

• Collaborate with Eli Lilly and Company. Advisor: James Rimell and Prof. Mark Daniel Ward.
• Built and deployed machine learning pipelines.
• Large Language Models (LLMs) evaluation.
• Skillset: OCR, Docker, Kubernetes, Apache Airflow, MinIO/AWS, PostgreSQL, pandas.

The Data Mine, Purdue University. Graduate Researcher. 2023-01 - 2023-05. [Slide]

• Collaborated with Howmet Aerospace.
• X-ray image based anomaly detection.
• Skillset: Computer Vision, Deep Learning, Pytorch, OpenCV, GitHub, Agile Methodologies.