Choong Teik Tan

Software Engineer

AETHER / Project MAXMUS

Software Engineer

Choong Teik Tan

Software Engineer for resilient product platforms and high-quality delivery.

A premium engineering platform for delivery history, product thinking, and the Project MAXMUS autonomy experiment.

Explore Experience Contact

Mission Control

Operational

MAXMUS OS live command surface

Mission Control frames MAXMUS as an engineering operating surface: active product direction, constrained execution, and visible system state.

Current mission

Evolve MAXMUS into a production-grade engineering operating system with static-first delivery, design ambition, and governed AI execution.

System signals

System status
Operational
Current mode
Mission Control v1
Runtime posture
Static-first
Quality gate
Validation required

Current focus areas

  • Homepage product identity

    55%

    Move the landing experience from portfolio framing to MAXMUS OS product framing.

  • Design atmosphere

    40%

    Increase futuristic depth, stronger visual identity, and more memorable system language.

  • Engineering operating model

    70%

    Keep architecture authority, validation discipline, and static-first constraints explicit.

Sync metadata

Release channel
main
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Last sync
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Proof

Engineering depth backed by delivery history

Long-cycle delivery ownership across front-end systems, platform operations, and production quality governance.

Personal engineering posture

Learn fast. Listen deeply. Communicate clearly. Build with care.

  1. Who am I ?
  2. Well, I'm just a Software Engineer
  3. With..
  4. Two eyes - help me to learn
  5. Two ears - help me to understand
  6. One mouth - help me to clarify
  7. Two hands - help me to code

  1. 01

    Architecture with product intent

    Technical decisions are shaped for user outcomes, not only implementation convenience.

  2. 02

    Hands-on delivery range

    Execution spans front-end architecture, full-stack development, cloud operations, and release rigor.

  3. 03

    Clarity under pressure

    Communication, learning velocity, and engineering craft stay explicit across the delivery lifecycle.

Selected Work

Built in production teams, not sandbox demos

July 2018 - Present

Qantas Hotels

Software Engineer

Engage with stakeholders to understand business needs and provide technical advisory services.

  1. October 2017 - June 2018

    Predictive Hire

    Software Developer (Full Stack, DevOps)

    Maintain core application code for SaaS platform architecture.

  2. February 2017 - October 2017

    Adslot

    Software Developer (Full Stack)

    Full stack delivery in a team environment.

Experiments

Project MAXMUS

Project MAXMUS tests AI-led implementation against real production constraints, with architecture authority and quality gates kept explicit.

  1. Governed autonomy

    Execution speed is allowed, but ownership boundaries, review quality, and evidence remain mandatory.

  2. Production-grade baseline

    The experiment optimizes for maintainability and correctness, not demo velocity.

Follow active updates on the lab route .

Connect

If this direction aligns, let's build together.

Open to engineering leadership, product-platform collaboration, and technically serious teams.

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