wvlen

pronounced “wavelength”

I'm Dan Corin. I help teams figure out where AI fits into their work, validate what's worth building, and ship.

I work with startups, research teams, industry, and mission-driven organizations before the plan is obvious, pairing domain expertise with software, ML, and production engineering.

Get in touchScroll

Working together

Most experts are underserved by software. Existing tools are generic, cumbersome, or simply don't exist for the work you do.

When you know your domain deeply, two paths open up that weren't viable until recently: build the tool you actually need, or reach for technologies like databases, pipelines, models, and infrastructure that used to take years of expertise just to implement the basics. Coding agents have collapsed the prerequisites. Both paths are unlocked by the same thing: clear vision of the work, paired with knowing what today's technology can actually do.

I embed with your team and help solve your actual problems. The work starts with figuring out where AI fits into your work and what's worth doing, then moves into prototypes that test the riskiest assumptions cheaply, and into scoping and shipping.

You don't need a plan to start. Most of the value comes from the conversation before the plan exists.

Testimonials

In just a few hours, Dan completely changed how I work with AI. I went from only trusting the technology for trivial tasks to running many parallel agents at once, relying on it for all of my day to day coding work. He taught me how to plan with, provide effective feedback for and invest in my agent.

Daniel Eager, CTO, Clad

I worked with Dan at Block, where we co-hosted AI office hours for the company. Before those sessions, I had no real path into agentic coding -- it felt out of reach. Dan taught me one-on-one how to set up and actually use the tools, and now it's part of how I work every day. What stuck with me most, though, was watching him do the same for designer after designer. He had a gift for unlocking creativity and potential in people across the whole company, patiently and without ego. He elevated our entire design team through his mentorship, and that impact has far outlasted any single session. Anyone who gets to work with Dan is lucky.

Valerie Ranum, Brand Systems Designer, Block

Dan came into the project without deep content expertise, and he worked hard to understand the full scope and nature of the problem we were trying to solve. His strength is finding responsive, creative technical solutions using software development, machine learning, and AI, and he helped us create a workflow to conduct analysis at scale in a highly secure environment, something that simply was not possible before in our work. He worked with our non-technical team collaboratively, with a great deal of patience and curiosity, and helped us understand our own research questions in a new way.

Elizabeth Riley, Chief Analytics Officer, Center for the Helping Professions

I have found tremendous educational value in working with Dan on several projects across disciplines. He models a unique ability to elicit, frame, and target the core features of any problem. Dan taught me to build such a skillset and use it, with the help of AI tools, to find elegant and rigorously validated solutions using powerful computational approaches outside my domain of expertise.

Fellow in Adult Hematology and Medical Oncology, a Northern California University

Background

I've spent my career as a software engineer building, shipping, and maintaining systems at scale.

My background is in software and product, but my favorite thing to do is work with people from different backgrounds and industries, learn their challenges, and help them get computers to work for their needs. I've worked with CTOs, CIOs, designers, doctors, and PhDs in a wide range of industries.

Engineering experience

Productionized AI workflows for disputes intelligence and restaurant menu extraction, built internal LLM tooling, and coached teams on coding-agent workflows.

Built micromobility systems at Uber app scale, including search, aggregation, IoT firmware rollouts, payments, and fleet-management services.

Built member-support systems across chatbot, voice, and email workflows, with a focus on reliability, performance, and platform architecture.

If you're interested in working together, please reach out.

Get in touch