SP graduate with 1 year of production experience shipping enterprise Java, React Native apps, and computer vision pipelines. Aspiring AI developer with eyes on cloud. Currently prepping AWS CLF-C02, Solutions Architect next. Open to roles in Singapore: S Pass sponsorship welcome.
I came into Singapore Polytechnic as a software development student, expecting three years of CRUD apps. The internship had other plans.
Eleven months at Reachfield taught me what no tutorial covers: enterprise systems don't look like tutorials. You inherit code from 2014, the spec lives in someone's head, and somewhere in production there are 30+ critical bugs waiting to be found. I learned to test properly there: think like a user, design test cases, classify severity, write bug reports that actually get fixed. It changed how I code. Now I break things on purpose before users do.
On the development side, I got handed a YOLO crowd-counting task and realised models aren't magic, they're just math wrapped nicely. I built EmotionVision next (TensorFlow + OpenCV), then a Code-to-Cloud Architecture Visualizer on AWS Lambda, API Gateway, and Bedrock. The pattern kept holding: the interesting work isn't calling the API, it's understanding what the API is hiding.
"The world doesn't need more people who can call an API. It needs people who understand what the API is hiding, and what breaks when it doesn't."
Cloud is where I'm headed next. I'm currently preparing for the AWS Solutions Architect Associate certification. I want a team building production-grade systems: cloud infrastructure, AI pipelines, or QA that actually catches things before users do.
Real production work, real users, real consequences when it breaks.
From hackathon wins to enterprise production systems.
Open to junior software engineer and AI developer roles in Singapore. S Pass sponsorship welcome. If your team ships real things and asks hard questions before building them — let's talk.