My Approach to Building Software

How I think about problems, work with teams, and build systems that actually solve real challenges

Lessons learned from building everything from startup MVPs to enterprise platforms processing billions of data points

Core Philosophy

The principles that guide how I approach every technical challenge

Problem-First Thinking

I start by deeply understanding the actual problem before jumping to solutions. The best code in the world is useless if it doesn't solve the right challenge.

Collaborative Solutions

The best solutions come from diverse perspectives. I work closely with teams to leverage everyone's knowledge and build collective ownership of the solution.

Future-Proof Building

I design systems that adapt and scale as businesses grow. Every architectural decision considers not just today's requirements, but tomorrow's possibilities.

How I Work

My day-to-day approach to solving complex technical challenges

Listen First, Code Second

Before writing a single line of code, I spend time understanding the business context, user needs, and existing constraints. This prevents building the wrong thing beautifully.

Ask the questions others might miss
Understand the bigger picture beyond immediate requirements
Learn from existing team knowledge and domain expertise

Real Example

When tasked with improving system performance, I discovered the real issue wasn't slow code - it was inefficient data access patterns causing unnecessary database calls. By listening to the operations team's daily frustrations, we solved the actual problem rather than optimising the wrong thing.

In Practice

I've seen too many projects fail because they tried to solve everything at once. Instead, I focus on delivering working solutions quickly, then iterating based on real feedback.

• Build the core functionality first
• Get it working, then make it elegant
• Add complexity only when it's proven necessary
• Keep the architecture flexible for future changes

Start Simple, Scale Smart

I believe in building the simplest thing that could possibly work, then evolving it based on real needs. This approach delivers value faster and avoids over-engineering.

Deliver working software early and often
Design for growth without premature optimisation
Learn from real usage patterns, not assumptions

Clear Communication

Technical complexity shouldn't mean communication complexity. I translate technical concepts into business language and ensure everyone understands what's being built and why. I've built my entire methodology around this 'No Bullshit' approach - I see this a problem that is massively overlooked in this industry.

No jargon when explaining technical decisions
Document decisions and reasoning for future reference
Keep stakeholders informed without overwhelming them

My Communication Style

Coming from a personal trainer background taught me that explaining complex concepts in simple terms is a skill worth developing. Whether it's a database design or a system architecture, I aim for clarity over cleverness.

"If you can't explain it simply, you don't understand it well enough." - This guides how I approach both code documentation and stakeholder conversations.

Technical Standards

Non-negotiable practices that ensure quality and maintainability

Security by Design

Security isn't something you add later. Authentication, authorisation, and data protection are built into the architecture from day one.

Comprehensive Testing

Unit tests, integration tests, and automated testing pipelines ensure code quality and catch issues before they reach production.

Clean, Readable Code

Code is written for humans to read. Clear naming, logical structure, and appropriate documentation make systems maintainable.

Performance Awareness

Every database query, API call, and user interaction is considered for performance impact. Monitoring and profiling guide optimisation efforts.

Automation First

If it can be automated, it should be. CI/CD pipelines, testing, and deployment processes reduce human error and increase reliability.

Developer Experience

Happy developers write better code. Clear documentation, good tooling, and logical project structure make development enjoyable.

What It's Like Working With Me

The honest truth about my working style and what you can expect

You can expect me to:

Ask "why" before "how"

I want to understand the problem deeply before proposing solutions

Challenge technical debt

I'll advocate for refactoring and improvements, but with business context

Share knowledge actively

Code reviews, documentation, and mentoring are part of how I work

Communicate honestly

If something's not working or seems risky, I'll speak up early

Focus on long-term success

Quick fixes are sometimes necessary, but I'll push for sustainable solutions

I work best when:

There's trust and autonomy

I do my best work when trusted to make technical decisions and suggest improvements

Business context is clear

Understanding the "why" behind requirements helps me build better solutions

Collaboration is valued

I enjoy working with diverse teams and learning from different perspectives

Quality matters

Teams that care about code quality, testing, and doing things right

Learning is encouraged

I'm always learning new things and enjoy environments that support growth

A bit of personality

I still get excited about that first "Hello World" when learning a new framework (though I add a 👋 now). I think the best code is boring code that just works. I'll happily spend an hour making something 10% better if it means the next developer won't have to deal with a confusing mess. And yes, I'm the person who'll refactor something "while I'm here" - but I'll document why and what changed.

Sound like a good fit?

Whether you're looking for a team member or technical expertise, I'd love to hear about the challenges you're working on.