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JohnsonLai928

1 karmajoined 4 mesi fa
Building agent workflows and experimenting with runtime control layers. Interested in tool-calling safety, automation, and system design.

Submissions

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1 points·by JohnsonLai928·l’altro ieri·0 comments

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1 points·by JohnsonLai928·4 mesi fa·0 comments

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JohnsonLai928
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JohnsonLai928
·3 mesi fa·discuss
Location: Taipei, Taiwan Remote: Yes Willing to relocate: No (prefer remote)

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: [email protected]

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
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