I turn ambiguity into systems.

An operating system for equity decision-making.

Built to handle the full lifecycle: from market inputs and screening to portfolio construction, monitoring, and reporting. More process than prediction. More system than script.

• Multi-agent architecture across regime detection, screening, governance, portfolio logic, and reporting
• Designed for explainability, monitoring, and operational feedback loops
• Proves I can run a complex decision platform, not just build a bot

A standalone options architecture with its own rules.

Designed as a clean fork from Aria so options research, risk, and execution could evolve independently. Built with separation, sequencing, and future execution in mind.

• Separate repo, infra, env, cron, and risk boundaries from day one
• Starts with data maturity first, before pretending strategy claims come cheap
• Proves architecture discipline under ambiguity

For people who think they're diversified.

A portfolio intelligence product focused on hidden concentration, fund overlap, and holdings-aware risk. Built to make portfolio complexity visible, not just prettier.

• Portfolio X-ray, exposure logic, news impact, and investor-facing product framing
• Closer to a usable finance product than a research artifact
• Shows product thinking layered on top of financial systems depth

A selective job-search system with standards.

An agentic workflow for evaluating roles, tailoring resumes, generating materials, and managing pipeline state. Less spray-and-pray, more signal and structure.

• Merges selective role evaluation with resume and document production pipelines
• Wraps messy human workflow inside quality gates, artifacts, and repeatable steps
• Proves I can productize AI around real-world personal workflows

A control plane for messy commerce workflows.

Built around approvals, compliance-aware drafting, catalog structure, and operational safety. Designed to run real workflows without acting like chaos is a feature.

• Combines store operations, catalog flows, inventory logic, and regulated content handling
• Separates read-only actions from approval-gated execution
• Proves I can design safe operational systems, not just automations

A rules-based workflow for noisy markets.

Turns loosely structured prediction-market inputs into filtered, trackable, paper-traded decisions. Built around discipline, not dopamine.

• Formalizes noisy human judgment into repeatable rules and tracked outcomes
• Prioritizes filtering, restraint, and consistency over volume
• Proves I can structure intuition into a system without flattening it