Finance and strategy professional with 20 years in capital markets, currently building AI agent infrastructure for investment research and process automation.
agentic-workflow-integrity Self-enforcing process integrity for autonomous AI agents — ensures multi-step workflows don't silently drift or stall between sessions.
agent-illuminator Observability layer for autonomous agents. Captures file writes, task transitions, cron events, and supervisor verdicts — visibility beyond just LLM API calls.
agent-ambit Policy-enforced state and memory management for autonomous agents — defines and constrains what an agent can know, retain, and act on across sessions.
clawconnect Connectors for autonomous agents — CLI, Telegram approval flows, and MCP bridge integrations.
agent-brutus. Pre-flight adversarial validation for autonomous agent plans. Every plan has a weakness. Brutus finds it.
Previously operating in Equity Capital Markets as an Executive Director in Singapore, where I led 150+ transactions and ran my bank's electronic public offer infrastructure as an operational business.
Interested in the intersection of institutional finance, AI systems, and applied automation.
📍 Singapore 🔗 LinkedIn