I work at the intersection of AI systems, external-data grounding, and security-minded infrastructure. My focus is making AI more grounded, reviewable, and useful under real-world uncertainty — especially where correctness and trust actually matter.
Researcher and builder working across AI, secure infrastructure, and real-world decision workflows.
My work has moved across applied AI, AI-oracle systems, secure data-transfer protocols for agents, and research on measurable digital systems. Across these areas, my core interest has stayed the same.
I am especially interested in settings where AI interacts with external data, incomplete evidence, or contested information. Raw generation is not enough — what matters is whether outputs are grounded, whether uncertainty is surfaced, and whether humans remain meaningfully in the loop.
Building trustworthy AI systems that connect models with verifiable data, stronger evidence workflows, and human oversight.
Systems that connect models to external data with stronger grounding, auditability, and decision usefulness. Treating external truth as a first-class input, not an afterthought.
Security-oriented AI data transfer and agent communication workflows focused on integrity, trust, and tamper-aware state under adversarial conditions.
Workflow design for cases where models assist, humans review, and evidence quality still matters. Raising the reviewer's ceiling without hollowing out their judgment.
Supporting strategy and product direction across AI infrastructure, AI-oracle workflows, and ecosystem development.
Led strategy across AI-oracle and prediction-oriented infrastructure. Shaped research direction, product framing, and ecosystem growth across AI and Web3.
Participated in the inaugural YZi Labs residency — working closely with founders and product teams in an applied startup-building environment.
Built deep relationships across the builder ecosystem; worked closely with hackathon-driven product exploration, experimentation, and technical communities.
Market research and investment-related analysis in crypto and digital-asset ecosystems.
Research across blockchain systems, financial cryptography, measurable digital markets, and AI-oriented verifiable workflows.
My public writing sits on the edge where new technical systems meet incentives, adoption, and real-world use. I tend to write when the interesting problem is unclear — and worth making clearer.