👋 Hey there! I'm Evgenii.

Picture this scenario: you’re writing Python code that calls a library for ML inference in the middle. You notice the program runs slowly.

My friend who works on high-frequency trading systems once told me a story that completely changed how I think about database internals:

Working with large-scale data at Semrush, I’ve often faced the classic problem: “Is this item in my massive dataset?” When you’re dealing with billions of entries, even the most optimized database queries can become a bottleneck.

Design patterns aren’t just academic exercises - they’re communication tools. When you tell someone “this is a factory”, they immediately understand not just the structure, but the intent behind your code.

When designing high-load concurrent servers, the age-old question always comes up: “How expensive are threads, really?” After years of working with concurrent systems at Semrush and various startups, I’ve heard all the claims - “context switches will kill your performance!