Fuzail Ali

I've managed enterprise EDI systems at Epcot Technologies, supporting data integration and transaction processing for more than 30 active trading partners. I've migrated hundreds of accounts from legacy VAN connections to secure SFTP and AS2 protocols while resolving high-volume file-transfer and transaction errors.

At the STEM Research Center, I built software for an electric vehicle that collected, processed, and displayed real-time data from five vehicle subsystems. My odometer and efficiency algorithms achieved 97% GPS-based distance-tracking accuracy and contributed to an 18% improvement in vehicle efficiency.

For biomedical research, I built an ETL pipeline that transformed ECG signals from 54 patients into structured time-series data and trained CNN and LSTM models for heart-rate prediction. The CNN achieved an 18.54 ms average prediction error while explaining approximately 75% of variation in unseen patient data.

I'm also building full-stack applications including a stock portfolio platform and the Mihrab Network App, using JavaScript, TypeScript, Java, Node.js, Express.js, PostgreSQL, and REST APIs. I bring a Computer Science degree with a 3.9 GPA and a focus on data analysis, machine learning, and reliable data systems.