"Building the bridge between biological intelligence and silicon efficiency."
Status: High School Student (Tunisia) | Class of 2027
Focus: High-Performance Computing, Financial Engineering, Computational Biology.
I do not just write code; I design systems. My work focuses on creating autonomous infrastructure capable of strategic, market-adaptive execution. While my academic path is aimed at institutions like MIT or Stanford, my operational focus is on deploying production-grade architectures today.
Current Directive: Scaling automated trading systems & Exploring pharmacogenomics.
This is not a script, it is an industrial-grade pipeline designed for the Bitcoin markets. The source code is proprietary, but the architecture is fully documented.
Role: Lead Architect & Developer
Stack: Python, Vertex AI, Apache Airflow, Glassnode API (Professional Tier).
The system operates on a sophisticated data-streaming architecture:
- Ingestion: Real-time on-chain and derivative data streaming via Google Pub/Sub.
- Orchestration: ETL pipelines managed by Apache Airflow for data integrity.
- Intelligence: An ensemble of ML models (Expert Models) governed by a Meta-Model selector to adapt to market volatility regimes.
📂 Access the Documentation: https://github.com/DisuzaQuantitative/Disuza-Quantitative Note: This repository contains the complete system documentation, architectural diagrams, and methodology. The core execution engine remains private.
I favor reliability and precision over trends.
| Domain | Technology Stack |
|---|---|
| Core |  |
| Data Engineering |    |
| Machine Learning |    |
| Environment |   |
My roadmap is driven by impact, not curriculum.
- Now: Refining the Swing Trading Algorithm (Live Simulation Phase).
- Near Future: Structuring the Holding Company & Capital Allocation.
- Long Term: Bio-computation & Longevity Research (Solving aging as an engineering problem).
© 2026 Fares Bendhiab. All systems nominal.