Security Researcher • AI Engineer • Quantitative Developer
Building secure, intelligent systems at the intersection of cybersecurity, artificial intelligence, and financial technology.
Autonomous AI Agent for Quantitative Trading
Lead developer of NexQuant — a 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 — from Redis/TimescaleDB infrastructure to live-market strategy validation.
I research vulnerabilities across critical infrastructure and contribute to open-source security hardening.
- 🏆 Recognized in the official Proton Mail Security Contributors list
- 🌐 Active bug bounty researcher targeting blockchain infrastructure (consensus/API layers, on-chain systems)
- 🛠️ Toolset: Slither, Mythril, Foundry, Semgrep, cargo-audit
Focus areas: protocol-level integrity, API robustness, CSRF/authN flaws, and cryptographic edge cases.
Security
Vulnerability Research Secure Coding Cryptography Smart Contract Auditing
AI & Agents
Multi-Agent Systems LLM Orchestration Autonomous Research Agents Foundation Models
Quantitative Finance
Algorithmic Trading Factor Discovery High-Frequency Backtesting On-Chain Market Data
Languages
Python C/C++ Rust (exploring) Go
Tools & Infra
Docker Linux CUDA QLib llama.cpp PostgreSQL Redis TimescaleDB