Twenty-something engineer from Nakhon Si Thammarat, living in Bangkok, mostly building things for people who are in a hurry.
I grew up in Nakhon Si Thammarat and moved to Bangkok to study computer engineering at Chulalongkorn. I started taking freelance work in 2022, partway through school, and learned most of this job the way people usually do — by shipping something to people who were already waiting for it.
A lot of my work has been for my own university: the site freshmen use before they have friends yet, the queue on open-house morning, the registration everyone opens at the same minute. When it works, nobody notices it. That is the part I like.
These days I split my time between the merchant platform at LINE MAN Wongnai and Mee Palang Mai, the studio I co-founded. The part I have come to enjoy most is not writing the code — it is reading someone else's, and watching them get faster.
Every service has a person on the other side, usually in a hurry and usually on a phone. I design backwards from them rather than forwards from the architecture.
Averages are comfortable and useless. The day that matters is the one where everyone arrives at once, so that is the day I plan for.
Most code is read by someone who did not write it, often under pressure. Reviews, naming and documentation are the actual deliverable.
A shipped thing that is slightly wrong teaches you more than a perfect thing that never launched. I would rather learn in public and fix it.
Focused on computing, projects, and innovation programs.
Focused on computing, projects, and innovation programs.
Principles of supervised machine learning By in-depth look at regression and classification methods. Gain practical skills in model training and evaluation. Learn to use algorithms for predictive analytics.
gain expertise in Technical Support Fundamentals, mastering troubleshooting, effective customer communication, and problem-solving techniques. Develop a strong foundation in hardware and software support
Certificate in "Build LookML Objects in Looker" validates proficiency in constructing LookML models within Looker, empowering data analysts to create robust data models for business intelligence.
Learners develop a deep understanding of agentic AI architectures, including multi-agent collaboration, memory systems, feedback loops, and real-time tool integrations. Through 8 real-world projects, students build advanced AI systems capable of web search, file handling, Python execution, and automated decision-making — similar to real digital assistants or AI copilots.
This advanced course guides experienced software developers through the transition from developer to solution architect. It covers the architecture of large-scale systems, deep dives into non-functional requirements (performance, scalability, reliability, security), and the internal workings of key tools and platforms like Node.js, Redis, Kafka, Cassandra, ELK, Hadoop, Docker, and Kubernetes. By the end you’ll understand how to make meaningful architectural decisions, build high-performance production systems, and lead system design with confidence.