Jindong Li

I am a Machine Learning Research Engineer and PhD candidate at Friedrich-Alexander University Erlangen-Nürnberg (FAU), specializing in machine learning for time-series and sequential data.

My work focuses on developing robust deep learning models for handwriting recognition, sensor data, and computer vision using Python and PyTorch. I have experience taking projects from data preprocessing and model development to evaluation, optimization, and reproducible research.

My expertise includes:

I have authored multiple peer-reviewed publications at international conferences, including NeurIPS, ICDAR, and iWOAR, and regularly collaborate with academic and industry partners on applied AI projects. My current research involves developing writer-independent handwriting recognition models for digital pen sensor data and building one of the first public sentence-level datasets for IMU-based handwriting recognition.

I can help with:

I value clean, maintainable code, reproducible experiments, and clear communication throughout a project.

GitHub:

Google Scholar: