Software Engineer
Independent · full-stack & ML
Full-stack and machine-learning engineering alongside the operations work — building, shipping and maintaining production applications end to end.
- Developed and deployed multiple full-stack applications, including a predictive student-monitoring platform and a fake-news detection system.
- Integrated machine-learning models to analyse and predict academic performance, identifying at-risk students with 85% predictive accuracy.
- Built responsive, maintainable applications with React, Node.js and SQL-based databases, improving load times and front-end performance.
- Built interactive 3D portfolio sites using React Three Fiber and GLTF models.
- Implemented database-driven backends with SQL Server and Azure Data Studio.
- Automated data collection and preprocessing workflows in Python, saving over 20 hours of manual processing a month.
- Debugged and deployed across Ubuntu and Windows, reducing deployment errors by 30%.