AI / ML Engineer · Full-Stack AI Developer
MS Computer Science @ University of Dayton — Class of '26
- AI Symptom Triage Platform — my master's thesis. A full-stack healthcare app that pairs ML classifiers with LLMs to triage symptoms for ALK-positive lung cancer patients in real time.
- VendorVault — a live operations platform for a cloud-kitchen business. WhatsApp-webhook order ingestion, SQLite cost-propagation, live margin tracking.
Languages: Python · Java · SQL · JavaScript ML / AI: TensorFlow · Keras · PyTorch · scikit-learn · XGBoost · SHAP · LLM Integration · Prompt Engineering Backend: Flask · FastAPI · SQLAlchemy · SQLite · REST APIs · Webhooks Cloud / DevOps: AWS Cloud Foundations · Docker · Git · Linux Data / Viz: Pandas · NumPy · Plotly · Tableau · Matplotlib · Grad-CAM
| Project | Stack | What it does |
|---|---|---|
| 🍱 VendorVault | Python · Flask · SQLite | Cloud-kitchen operations platform — orders, vendor purchases, live margins |
| 🩺 RetinaGuard | PyTorch · EfficientNet-B4 · Flask · Grad-CAM | Clinical DR screening platform — built on my ISSN 2321-2152 publication |
| 📊 Rippl-Predict | Python · XGBoost · SHAP · Plotly · FastAPI | Article virality forecasting + 3D analytics dashboard |
| 🔍 Auto-Lens | YOLOv12 · EasyOCR · FastAPI · React Native | License-plate recognition + vehicle intelligence (DPPA-safe) |
| 🛒 SmartCart | Java · Android · ML Kit · CameraX | Grocery shopping app with budget tracking + barcode scanning |
📧 tgauravsingh07@gmail.com · 📍 Dayton, OH · 🔗 Portfolio · LinkedIn
📌 Open to Summer 2026 internships and full-time roles in Applied AI, ML Engineering, Data Science, and Full-Stack AI develo