Emerging Tech

I’ve been building products on frontier technologies since the early web, with a focus on how people interact with data to do useful work.

Crafting with language models since 2014

I started my career in data journalism, and I’m intensely interested in spanning the gap between structured data and the chaotic world of humans doing useful work.

Projects like my 2013 browser extension “emotional-metadata” generated natural language outputs to embed small but actionable insights — like an author’s current jetlag — into online communications.

I’m currently leading a team building RAG-LLM applications in healthcare, government and software development contexts.

Bleeding edge tech is still about solving problems

Human centered design and well proven design frameworks like ‘jobs to be done’ don’t become less important when technology takes major steps forward. I would argue that design validation patterns are essential tools for cutting through hype and making accurate evaluations of risk vs reward.

Image: I led a session to help Cboe Global Market’s CEO and executive team understand how blockchain, smart contracts and distributed finance might disrupt their exchange business. This workshop lead to a $2M design engagement.

AI safety, privacy and trust are day-one concerns

I’m a practice lead for AI/ML app development and I work daily on harm reduction and understanding impacts to privacy, safety, costs, and the environment. 

I believe “guardrails” for AI is a misguided goal; we should instead design ML apps from start to provide value without trusting ML or human vigilance.

Image: I led a team building a RAG-LLM customer service chatbot for Carina, a nonprofit org that aims to guide vulnerable users through benefit eligibility conversations.

Let’s walk through my portfolio.

I’ll gladly take thirty minutes to answer your questions and explore possible collaborations.