ML Engineer & Public Health Researcher • 5+ years software development • 4+ years research experience • Erasmus Mundus Scholar • Building predictive models for mental health
Production-ready systems & research implementations
End-to-end ML pipeline with FastAPI backend (deployment in progress). XGBoost model achieving AUROC 0.71 on 9,000+ participant cohort from The Maastricht Study.
Research prototype for educational purposes – not for clinical use
Co-founded and developed social app serving 10,000+ MAU. Built scalable backend with OAuth authentication and optimized performance by 40%.
2015-2017: Full-stack development & system architecture
Seven-year cohort study using Cox PH models with restricted cubic splines to capture non-linear effects of sleep duration on depression risk. Manuscript in preparation.
Interactive Power BI dashboard visualizing cohort characteristics and ML model performance metrics for The Maastricht Study.
Target: Journal of Sleep Health • 2025
1st Int. Conf. Psychology & Social Sciences, Babol • 2022
View paper →ASLATES Conference, Mexico City • 2021
Maastricht University (current) & UCD (completed) • 2023–2025
Erasmus Mundus Scholar (top 1% worldwide) • First-Class Honours
Payam Noor University • 2017–2022
First-Class Honours (17.44/20)
Sharif University of Technology & University of Gothenburg • 2008–2013
Software Engineering & Management track
ML Engineer / Full-stack roles