• Built a Python automation system that reduced data processing workflows from 2-3 days to 12 hours by orchestrating 15+ sequential jobs across multiple pipeline stages
• Dockerized EEG processing pipelines to enable high-performance cluster deployment, reducing processing time by hours and preventing errors
• Built a Python/Streamlit web app that simplified batch job creation, saving teammates hours of manual scripting work and eliminating processing errors.