- Agri-food engineer with a growing obsession for AI & ML
- Self-learning Deep Learning, Computer Vision, Graph AI
- Working toward a PhD starting September 2026
- Passionate about precision agriculture, Edge AI, and IoRT
- Exploring GraphRAG, LLMs, and data-driven solutions for the food industry
My public projects ranked by innovation, complexity, and real-world impact.
| Tier | Repository | What it does | Stack |
|---|---|---|---|
| π₯ S | mildiou-prediction | Autonomous rover detecting Downy Mildew in vineyards β Edge AI + LoRa + IoRT for precision viticulture | C++ Arduino LoRa Edge AI |
| π₯ A | image2biomass | Kaggle CSIRO Image2Biomass challenge β computer vision with DINOv3 & SigLIP foundation models | Python PyTorch DINOv3 SigLIP |
| π₯ A | openreg-graph | GraphRAG system for tracking European food & quality regulations using a knowledge graph | Python Neo4j GraphRAG |
| π₯ B | TensorTonic-Solutions | My solutions to TensorTonic ML challenges β ongoing practice & problem-solving | Python ML |
| π₯ B | meat-quality-dashboard | My first deep learning project β fresh vs. spoiled meat classifier POC | Jupyter Deep Learning |
"From fields to features β using AI to feed the world smarter."
