I build and ship AI products end to end — from model pipelines to native mobile apps on both stores. My latest is Momenta, a daily wellness app for mothers, live on the App Store and Google Play. Next up: FutureForm (AI fitness transformation previews using Stable Diffusion + ControlNet) and an AI Persona Pipeline for generating consistent character content across image, voice, and video.
At Snowflake, I'm a Solution Engineer supporting 180+ healthcare and life sciences enterprises on the AI Data Cloud — hospitals, pharma, biotech, and payers, all using AI to move faster on hard problems. Before Snowflake, I spent four years as a Data Scientist building ML models, recommendation systems, and analytics pipelines for clients including Microsoft, Lowe's, AARP, and Ecolab. I hold a B.A. in Communication of Science and Technology and an M.S. in Data Science from Vanderbilt University.
I optimize for shipping. The products on this site went from idea to live store in weeks, not quarters, because that's the only way to know if something is real. The same instinct shows up in my enterprise work: I'd rather prototype against a customer's real data on day one than spend a month producing a deck about it.
I also write — about the architecture, psychology, and product decisions behind what I ship. The most recent piece is on why Momenta works: the research and design thinking behind a wellness app built specifically for mothers, not wellness enthusiasts.
If you're working on something interesting at the intersection of AI, enterprise infrastructure, or consumer products, I'd love to hear about it: alfredprah@gmail.com or LinkedIn. You can also view my resume.