Coach · Full Stack & AI Engineer
Tan Ja Man
Coach at LEAD · Full Stack Developer at GRUDA Technologies
Full-stack developer who had a hand building AI365, Bingo, and a 3D visualisation platform. Trains business and marketing professionals on AI with one principle: build real things, not demos. Probably still writing code between sessions.
Around 4–5 years in IT — websites, mobile apps, standalone systems. Turning complicated business operations into workflows that run on their own, he coaches teams and individuals across industries to build the same for themselves.
“AI may be replacing you — but people who know AI will replace you easier and faster.”
Ja Man on why “familiar with AI” is the real edge
Life with AI
Hours of debugging. Now: ship, then verify.
Before
Typical developer life: code line by line, hunt the internet for reference snippets, then spend hours tracing an error that turned out to be one broken line.
After
Coding is faster and debugging takes less time — but he still fact-checks before anything ships. An unchecked AI solution can take a module, or a whole project, down with it.
Flagship case study
Months of website work. A lucky-draw site in days.
Without AI, a full usable website often took months. With AI, a lucky-draw site went live in about four to five days — design, build, and ship. That speed only holds if you treat AI as a force multiplier, not as an unchecked authority.
What almost goes wrong is familiar to every engineer who’s moved fast: the model gives a plausible answer, you implement it, and a module fails because nobody verified the path. His rule now is simple — use AI for the solution, then fact-check before it hits production.
The same stack shows up in the products he’s helped build: Bingo, AI365, and Metalyze, a 3D model visualisation and analysis platform. Complicated operations become workflows people can actually run.
In the classroom
Automation and engineering for people who ship.
What he teaches
AI Automation, AI Engineering, Vibe Coding, and the IT fundamentals that keep those tools honest in production.
Who he trains
People in business, marketing, IT, sales, and neighbouring fields — anyone who needs workflows that ease real operations.
What sticks
Claim-reconciliation automations and similar ops flows: bank statements matched to records, less manual checking, fewer human errors.
If you’re stuck where he was
Don’t be afraid of AI.
Treat it as a tool. It can take a huge weight off daily work — as long as you still check the answer before you trust it with something that matters.
— Ja Man
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