Data Scientist & Applied Machine Learning Engineer
Data Science intern @ CORELIA · Misr Higher Institute for Engineering and Technology
I build end-to-end AI systems — from data cleaning and feature engineering through model training and evaluation, to deployment behind an API. Most of my work lands in computer vision and applied ML on real production problems.
Potato Leaf Diseases Detection Model for Precision Agriculture Using an Enhanced YOLO Published by Springer — an enhanced YOLO architecture for detecting potato leaf disease in the field, aimed at precision-agriculture deployment.
| Project | What it is | Stack |
|---|---|---|
| Pandas Assistant | A fully offline RAG assistant over the pandas docs — answers with citations, refuses out-of-scope questions, runs on sub-1B local models | LangChain · Chroma · Ollama · Streamlit |
| 3D Generation Pipeline | Text/image → 3D mesh pipeline built on threestudio: Stable Diffusion guidance, DreamFusion + NeRF representation, SDS optimisation, mesh export | PyTorch · threestudio · NeRF |
| Virtual Painter | Real-time drawing driven by hand-landmark tracking from a webcam feed | Python · MediaPipe · OpenCV |
| Supplement Store Management | Desktop inventory and sales system over a SQLite database | Python · SQLite · Tkinter |
Languages Python · SQL · C# · JavaScript
ML/DL PyTorch · scikit-learn · YOLO · OpenCV · MediaPipe
Data Pandas · NumPy · Matplotlib · Seaborn
LLM / RAG LangChain · Chroma · Ollama
Other FastAPI · Node.js · PostgreSQL · Git
Working on applied computer vision and retrieval-augmented systems, and looking for roles in Data Science / Machine Learning Engineering.
📫 Reach me on LinkedIn