- 🔬 Focus Areas: Deep learning architectures, autonomous AI agents (LangChain/LangGraph), and quantitative research pipelines.
- 🛠️ Diagnostics-First Philosophy: I build machine learning systems with strict validation gates—every signal and model behavior is challenged before deployment.
- 🚀 SaaS & Entrepreneurship: Passionate about taking AI innovations from 0 to 1, creating scalable, real-world software products.
- 🎵 Interdisciplinary Interests: Exploring non-obvious intersections of AI with domains like quantitative finance and music.
| Category | Badges |
|---|---|
| Languages | |
| AI / ML Frameworks | |
| Agents & Vision | |
| Data & Databases | |
| Tools & Infrastructure |
| Project | Description | Tech Stack | Highlights |
|---|---|---|---|
| TSE Robo-Advisor | End-to-end ML pipeline for signal research, statistically-validated backtesting, and portfolio optimization on the Tehran Stock Exchange with a diagnostics-first gate. | Python LightGBM SciPy SQLite React |
Purged K-Fold CV, SLSQP optimization, atomic JSON exports, and stale-ticker guard. |
| Brain Tumor Classification | Custom CNN architecture for classifying brain tumor types from MRI scans. Trained with strict validation techniques. | PyTorch Keras OpenCV Google Colab |
~88% test accuracy on Kaggle MRI dataset. Colab-ready pipeline. |
Designed & Developed by Eyna Shabani • Driven by curiosity & statistical rigour.

