From the Clinic to the Command Line
I spent years as a veterinarian — treating animals, publishing research, and teaching at Chulalongkorn University. But somewhere along the way, I discovered something that changed my trajectory: AI can transform entire industries, including veterinary medicine.
I started with Harvard's CS50 to build a proper computer science foundation. Then I got deep into AI — earning Anthropic's Claude developer certifications, completing DeepLearning.AI's "Build with Andrew" program, and getting Google Certified Educator Level 1. Each step confirmed what I already felt: this is where I belong.
Why AI for Vet Clinics?
Most veterinary clinics in Thailand still run on paper forms, manual scheduling, and word-of-mouth marketing. The gap between available technology and actual adoption is enormous.
My unique position — understanding both the clinical workflow AND the technology — lets me bridge this gap. Not as a pure tech person building generic tools, but as someone who has lived the problems and can build solutions that actually work in practice.
What I'm Building
Here's what I'm working on:
The MIT Hacking Medicine Experience
In November 2025, I participated in the Siriraj x MIT Hacking Medicine Hackathon and won 3rd place in the Mental Health Track. This was a turning point — it proved that my cross-disciplinary skills (vet medicine + AI) are a real competitive advantage, not just an unusual combination.
What's Next
This blog will be my space to share:
If you're a vet clinic owner curious about AI, a tech person interested in veterinary applications, or just someone who finds this vet-to-AI journey interesting — welcome aboard.
Let's build something amazing together.