How I Approach Building AI Systems

February 2025

In my 13 years of experience, I have learned that building AI systems is not just about algorithms, but about understanding the problem deeply, preparing quality data, and ensuring the solution scales in the real world.

1. Understanding the problem

Before writing a single line of code, I spend time aligning with stakeholders to define success metrics and constraints.

2. Data preparation

Data is the fuel of AI. I invest heavily in cleaning, labeling, and augmenting datasets.

3. Iterative development

I use agile methods to continuously improve models and measure performance against KPIs.