What I Do
Turning Complexity into Clarity
From cross-functional incident investigations to AI architecture decisions — breaking down hard problems and building solutions that stick.
A Systematic Approach
Every worthwhile project starts with a problem worth solving. At FreeWheel, that meant leading cross-functional investigations into complex streaming issues, coordinating across engineering, product, and client teams to find root causes. Now it means designing multi-agent systems that need to handle ambiguous inputs gracefully. The approach is the same: slow down, understand the constraints, and think critically about what "done" actually looks like.
I approach problems by first mapping the territory: what's known, what's unknown, and where assumptions hide. Then I break the problem into smaller, testable pieces. Each piece gets solved, validated, and integrated incrementally, reducing risk at every step.
This isn't about rigid process for its own sake. It's about avoiding the trap of building the wrong thing quickly. A clear understanding of the problem is the most underrated tool in any developer's toolkit.
Problem-Solving Principles
Define before you build
A well-stated problem is half-solved
Decompose relentlessly
Big problems are just collections of small, solvable ones
Validate early, iterate often
Short feedback loops catch mistakes before they compound
Simplicity is the goal
The best solution is the simplest one that works
Methodology
Understand
Map the problem space. Identify constraints, stakeholders, and success criteria. At enterprise scale, this often means coordinating across engineering, product, and business teams.
Analyze
Break the problem into components. Identify dependencies and risks.
Design
Architect the solution. Choose patterns, define interfaces, plan incrementally.
Validate
Test assumptions, gather feedback, refine until the solution holds up.