I help digital health, medtech, and SaaS teams integrate LLMs, refine deep learning models, and get AI-powered products ready to ship.
A technology consultancy needed its healthcare and enterprise success stories in front of the right decision-makers, without slow, expensive campaigns.
An LLM-driven outreach engine matched each story to third-party audience data, then sourced, enriched, and personalized every sequence.
100+ engaged leads per client, $2M+ in pipeline, and $188k closed-won in 12 months
A seed-stage AI startup serving the mobile industry needed production-ready marketing assets generated inside its SaaS platform.
I designed and integrated an image-to-image ML pipeline into the product, and built the ICP, pricing, and launch plan around it.
A larger global addressable market, and Phase 1 and 2 launches accelerated by two months
Medical imaging AI research is compute-hungry, and few teams know how much training a result actually needs.
Using 2D nnU-Net, I established efficiency baselines for training and inference. Paper forthcoming
Clear cost baselines that help research teams reach comparable results with less data and compute
A SaaS publishing platform needed AI features that made its customers faster without hurting editorial quality.
I integrated LLMs into the platform's core publishing workflow, with human review built in.
AI features that became a driver of platform growth
Rowan built an automation that connects our Salesforce data to our content marketing system. What would have cost $1,700/month in Zapier fees now runs for under $150/month.
When I spoke with Rowan on the CRM replatforming project, he asked questions that continue to make me think about the direction of the product.
Engagements are typically $5k–$15k.
LLM features for products and automations
Custom models for problems cloud APIs can't solve
Decide what to build, how to frame it and ship it
I've worked on product, CRM and integration for health care systems and international orgs such as Banner Health, CHLA, Malaria No More, Pathfinder, and the UNDP. I've also worked with ML-focused ventures such as MAPNIC, Sigsense, Comvibe, and HP's B2B prediction analytics business.
Recent work is in LLM integration, marketing automation, evals, custom training and fine tuning, product positioning, and GTM.
Portland, OR
Digital health, medtech, and ML startups, typically with founders or product owners. I also work with NGOs and nonprofits in product development related to field/program work.
Custom training and fine-tuning of niche DL imaging models that do segmentation and classification, along with small, open-weight LLMs, with a view towards deployable, useful software products.
Most with a short, fixed-price evaluation of a specific goal but engagements can extend to months if building solutions is involved.
Yes, I'm particular about documentation, recorded walkthrough, live trainings, etc, and easy to get ahold of.