Give me an example of a complex problem you solved with a simple solution.

In my last internship, I worked on a reporting page that was timing out for some users, and the initial assumption was that we needed to redesign how the page loaded data. I spent some time comparing slow and fast requests and found that the main delay was actually one repeated lookup happening inside a loop. Instead of rewriting the page, I moved that lookup outside the loop and cached the result for the duration of the request. It was a pretty small code change, but it cut load time from around 12 seconds to under 2 seconds in our test environment. I also checked a few related cases with a teammate to make sure I had not changed the output. What I liked about that experience was learning that a problem can look architectural when it is really one bad pattern in the implementation.

On the mobile checkout for a small e‑commerce project I was on, we were seeing a lot of people abandon at the billing step and the team was talking about a full redesign. I dug into the analytics and watched a few recordings and realized most users were getting stuck retyping an address they had already entered for shipping. I suggested and implemented a simple “Billing same as shipping” checkbox that copies the fields and hides the extra inputs, worked with our designer to make the control obvious, and added a small unit test to cover the copy behavior. It was a couple hours of work but checkout completion jumped by about 8% and billing-related support tickets dropped, which felt great — I learned you don’t always need a big overhaul to fix a painful experience.