Building tools for AI, biological, and decentralized financial systems — where one small change can reshape everything.
A family member of mine lives with a degenerative genetic disease — one incorrect letter out of three billion base pairs decides how their life goes. I couldn't leave that alone. It's why I got a BSc in Biology from the Interamerican University of Puerto Rico, why part of my degree went into literature review work on quorum sensing and colorectal carcinogenesis, and why I'm still pulled toward genomics and gene regulatory networks — not just which genes exist, but what turns them on and off, and what that switch means for an actual person.
Decentralized finance found me differently. A stranger on social media was explaining you could borrow money without a bank checking your credit score, and earn yield lending your capital. I didn't believe him, so I went and checked. I've been a DeFi investor since, and I picked up on-chain forensics along the way out of necessity — tracing wallets, auditing protocol risk, and reading contracts closely enough to understand when a system is about to break. PANOPTES grew from that work: a way to turn fragmented credit-market data into something investors and analysts can actually use.
The throughline is systems thinking. A base pair, a lending curve, an AI agent moving data through a pipeline — each is a small rule with consequences that propagate. I am interested in building the tools that make those relationships visible.
If you are working on a difficult system and need someone who can move between domains, research deeply, and build toward clarity, I am open to the right opportunity.
Why it exists — A single token's price crash pushed a wave of Cardano loans toward liquidation at once, and there was no dashboard that showed the aggregate risk. I built the data pipeline with an AI agent to extract, transform, and present that risk for investors and analysts.
Read the case studyWhy it exists — A domain-specific MCP server for working with systems-biology knowledge and data through AI tools, making complex biological relationships easier to query, inspect, and reason about.
Why it exists — A visual bioinformatics pipeline builder already existed, but it was outdated and had no genomics support. So I started building the version I actually wanted to use.
Read the case studyA comprehensive literature review of the μ-calpain protease mechanism and its use alongside organ-specific biomarkers for precise diagnosis of multi-organ injury.
Interesting in collaborating? Let's connect. DM me on LinkedIn.