Security Researcher • AI Engineer • Quantitative Developer
Passionate about building secure, intelligent systems at the intersection of cybersecurity, artificial intelligence, and financial technology.
Autonomous AI Agent for Quantitative Trading
I am the lead developer of NexQuant — an advanced multi-agent AI system that autonomously:
- Discovers and generates novel alpha factors
- Creates, evolves, and backtests trading strategies 24/7
- Uses state-of-the-art LLMs and custom foundation models (Kronos)
- Performs rigorous verification with mathematical invariants and property-based testing
Built with a strong focus on reliability, security, and production-grade engineering.
Recognized contributor to Proton Mail security:
- Listed in the official Proton Mail Security Contributors
I actively research vulnerabilities, contribute to open-source security, and work on hardening critical systems.
- Security: Vulnerability research, secure coding, cryptography
- AI & Agents: Multi-agent systems, LLM orchestration, autonomous research agents
- Quantitative Finance: Algorithmic trading, factor discovery, high-frequency backtesting
- Languages: Python, C/C++, Rust (exploring), Go
- Tools: Docker, Linux, CUDA, QLib, llama.cpp, PostgreSQL
- GitHub: @NicolasBohn
- Projects: TPTBusiness
Currently building intelligent systems that are both powerful and secure.