Ebad Ahmad

Software Engineer

Projects
Competitive study platform.
20+ users - 100+ sessions
React / Node / MongoDB
Classifier for AI vs real images.
120,000 samples - 96.2% accuracy - F1 0.965
Python / PyTorch
ML system for classifying blood spatter types and estimating impact angles from images.
Python / PyTorch
Backend API for Real-Time Image Classification
FastAPI service for image inference.
100+ images/min - >99% success - 50+ concurrent requests
FastAPI / Docker
Education
Wilfrid Laurier University - BSc Computer Science (Ongoing)
Experience
Teaching Assistant (Sep 2025-Present)