Python | PyTorch | FastAPI | Node.js | Time-Series & Medical AI
AI Engineer with 5+ years building real-world ML systems.
Focus: Clinical Decision Support, Medical Imaging, and Time-Series Forecasting.
Bridging research & production-ready AI solutions.
ML & AI: Deep Learning, Meta-Learning, Time-Series, Medical AI
Programming: Python, Node.js, FastAPI, SQL, MongoDB
Infrastructure: GPU Computing, Linux, Distributed ML
Domain: Pediatric Health Monitoring, Digital Health, Financial Forecasting
Smart Pediatric Medical Assistant – AI Clinical Support
- Context-aware pediatric care recommendations
- Tech: Python, FastAPI, RTL interface for Farsi
LaparoSeg – Medical Image Segmentation
- UNet + ResNet34 + Attention/ASPP for laparoscopic lesions
- Outputs Persian diagnostic reports
ASQ Digital Health Platform – Child Development Monitoring
- Node.js backend, SQL, real-time communication
- [OAMLS – Objective-Aware Meta-Learning, Elsevier (Under Review)
- AI-Assisted Haematology – Springer Nature (2025)
- Predicting Gestational Diabetes – Springer Nature (2026)
- Exclusive Breastfeeding Prediction – Springer Nature (2026)
