Writing code is no longerthe hard part.

Backend engineer focused on what code generation won't solve.

6 years of backend work on SaaS products, in fast-paced startups and in larger companies, across HR, AdTech, AI search and GEO, fraud detection and telecom. One thread runs through all of it: data acquisition. Crawlers, ETL pipelines and custom collection mechanisms for domains with no reliable structured source, from advertising fraud traffic to the answers generative AI gives about a brand.

AI coding tools are part of how I work every day, and I am deliberately growing into AI engineering. As code generation gets cheaper and faster, the bottleneck moves elsewhere: designing systems that hold together, understanding the domain well enough to know which problem is worth solving, making the right architectural trade-offs.

I hold a high bar for quality. Clean architecture, meaningful tests, readable code and performance that survives real load, because that is what keeps a system cheap to change a year from now.