Engineering leadership
Partner with stakeholders, shape scope, and provide technical advisory across implementation decisions.
Project MAXMUS
Choong Teik Tan
Software Engineer
Software engineer focused on platform delivery, architecture clarity, and resilient product execution.
MAXMUS is a personal engineering platform and a governed AI autonomy delivery experiment.
Personal Engineering Philosophy
How the work is approached
These legacy principles remain part of the platform narrative and continue to frame learning, communication, and execution discipline.
- Who am I ?
- Well, I'm just a Software Engineer
- With..
- Two eyes - help me to learn
- Two ears - help me to understand
- One mouth - help me to clarify
- Two hands - help me to code
Capability Narrative
Engineering scope with product and platform discipline
The work profile spans leadership, architecture, delivery, and operational execution without separating technical quality from product outcomes.
Architecture and platform thinking
Design maintainable systems across front-end, back-end, and operational boundaries with clear ownership.
Product delivery discipline
Execute with quality gates, test coverage, and iterative release management instead of one-off output.
AI experimentation with controls
Evaluate AI-led delivery quality through explicit governance, measurable validation, and cost discipline.
Current Experiment
AI autonomy, held to production standards
Project MAXMUS evaluates how far AI can drive production engineering tasks while preserving architecture control, documentation quality, and maintainability.
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Governed autonomy
AI executes implementation tasks, while architecture and quality authority stay explicit.
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Evidence-driven quality
Every delivery step is validated through linting, type checks, tests, and documented assumptions.
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Cost-aware engineering
Technical decisions remain aligned with static-first delivery and the AUD 20 per month ceiling.
Featured Pathways
Navigate by intent
Explore the most relevant paths for delivery history, technical foundations, and direct collaboration.
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Experience
Professional timeline and technical delivery history.
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Education
Academic timeline and subject coverage history.
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Projects
Planned project case study route.
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Lab
Planned experimental showcase route.
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Contact
Direct contact route and conversion path.