BSc Computer Software Engineering student at the University of Alberta (Minor: Mathematics, graduating 2026) with hands-on research experience spanning computer vision, clinical ML, and geospatial systems.
- 🔬 ML researcher with published work — co-authored a paper on predicting surgical outcomes in pediatric Crohn's disease using survival ML models (0.96 C-index)
- 🚦 Currently building real-time LiDAR + sensor fusion pipelines for traffic analysis at the Smart Mapping Lab
- ⚡ I care about performance — 5.5x pipeline speedups, 40% faster model training, 80% dimensionality reduction
- 🧩 I work across the full stack: from SHAP-based drift frameworks to C++/Qt desktop apps to cloud-replacing on-prem infra
- 💬 Ask me about: computer vision, survival analysis, feature attribution, geospatial ML
- 📍 Edmonton, AB, Canada
| Project | Description | Stack |
|---|---|---|
| 🛤️ LiDAR Semantic Segmentation Pipeline | End-to-end ML pipeline achieving 78.3% mean IoU across 11 classes for traffic scene understanding | Point Transformer v2, PyTorch, Python |
| 📊 Feature Attribution Drift Framework | Unified drift detection with SHAP-based feature importance; 100% TPR on medium/large drift scenarios using KS, PSI & 4 attribution metrics | Python, SHAP, XGBoost, scikit-learn |
| 🏥 Pediatric Crohn's Disease ML Model | Survival models on 58K+ clinical data points (n=934); 0.96 C-index, 80% dimensionality reduction via mRMR; co-authored peer-reviewed paper | Python, scikit-survival, Random Survival Forest |
| 📚 Primrose | Cross-platform reading analytics desktop app with adaptive reading-speed estimator and time-prediction model | C++17, Qt 6, SQLite, CMake |
| 🔥 Wildfire Visualization App | Full-stack web app with automated satellite imagery ingestion pipeline; refactored 400+ lines of MATLAB to Python with RESTful APIs | Python, Flask, JavaScript |
🔬 ML Research Assistant — Smart Mapping Lab, UAlberta (2025 – Present)
Real-time sensor fusion with YOLOv8 + ByteTrack + GPS/IMU · LiDAR segmentation · Automated accident report parsing (400+ reports)
🏥 Applied ML Researcher — Faculty of Medicine & Dentistry, UAlberta (2024 – 2025)
58K+ clinical data points · Survival models with 0.96 C-index · Co-authored publication (submitted 2025)
🏛️ Software Development Intern — Government of Alberta, Environment & Parks (2024)
5.5x pipeline speedup · Designed $6K NAS replacing cloud storage, saving $94K/year · ArcGIS ETL pipelines
👁️ Computer Vision Research Assistant — Dept. of Civil Engineering, UAlberta (2023)
SORT → DeepSORT migration · Enhanced state management & data association algorithms
Languages
ML & Data
Computer Vision & Tracking
Frameworks & Tools
Shahzaib Ahmed et al. — Machine Learning Predicts First Bowel Resection in Pediatric Crohn Disease Patients (Submitted, 2025)
BSc Software Engineering · University of Alberta · Open to internship & new grad ML/SWE roles