"Building the bridge between biological intelligence and silicon efficiency."
Status: High School Student (Tunisia) · Class of 2027
Focus: Distributed systems, quantitative finance, computational biology.
I build autonomous infrastructure for market-adaptive execution. Source code stays private; architecture and methodology are open.
Currently: Scaling automated trading systems · Exploring pharmacogenomics.
A systematic trading infrastructure for the Bitcoin markets. Source code is proprietary, architecture is fully documented.
Role: Founder & Developer
Stack: Python · Vertex AI · Apache Airflow · Glassnode API (Professional Tier)
Pipeline:
- Ingestion — Real-time on-chain and derivatives data streaming via Google Pub/Sub.
- Orchestration — ETL pipelines managed by Apache Airflow.
- Intelligence — An ensemble of expert ML models governed by a meta-model selector to adapt across volatility regimes.
📂 Documentation: https://github.com/DisuzaQuantitative/Disuza-Quantitative
Public repo contains system documentation, architectural diagrams, and methodology. Core execution engine remains private.
| Domain | Stack |
|---|---|
| Core |  |
| Data Engineering |    |
| Machine Learning |    |
| Environment |   |
- Now — Refining the swing trading algorithm (live simulation phase).
- Near Future — Structuring the holding company and capital allocation.
- Long Term — Computational biology and longevity research.
© 2026 Fares Bendhiab