Additional information:
I build system-level infrastructure for AI agents and quantitative workflows.
Recently built Stage0 (https://signalpulse.org), a runtime authorization layer that sits between agent intent and tool execution, returning ALLOW / DENY / DEFER decisions based on structured context. Designed for MCP/tool-calling agents and production environments where execution risk matters.
Also working on an agentic quant research workflow system (multi-agent + risk-aware evaluation + walk-forward validation), focusing on robustness rather than just signal generation.
Background in derivatives/CFD risk and trading systems. Strong focus on failure modes, execution safety, and production-ready design.
Looking for:
- AI infrastructure / agent systems / platform roles
- Quant / trading system roles
- Or collaborations with teams building agent workflows / internal tools
Technologies: Python, FastAPI, Node.js, TypeScript, PostgreSQL, Redis, Docker, system design, distributed systems, API design, agent workflows, LLM integration, trading systems, quantitative research
Résumé/CV: https://signalpulse.org https://github.com/Starlight143
Email: cxing928@gmail.com
Additional information: I build system-level infrastructure for AI agents and quantitative workflows.
Recently built Stage0 (https://signalpulse.org), a runtime authorization layer that sits between agent intent and tool execution, returning ALLOW / DENY / DEFER decisions based on structured context. Designed for MCP/tool-calling agents and production environments where execution risk matters.
Also working on an agentic quant research workflow system (multi-agent + risk-aware evaluation + walk-forward validation), focusing on robustness rather than just signal generation.
Background in derivatives/CFD risk and trading systems. Strong focus on failure modes, execution safety, and production-ready design.
Looking for: - AI infrastructure / agent systems / platform roles - Quant / trading system roles - Or collaborations with teams building agent workflows / internal tools