Evaldas Karpys is an Applied AI Engineer with nine years of experience building production-ready retrieval-augmented generation pipelines, agentic knowledge bases, and automation tooling. He blends a strong backend pedigree—spanning Erlang, Python, AWS, and containerized deployments—with hands-on optimization work that cut observability costs and dramatically improved test coverage in production services. Earlier roles driving document automation for major banks honed his ability to convert complex domain rules into scalable templates and robust release processes. Now leading applied AI efforts at WSD, he pairs pragmatic engineering ownership with a taste for operational excellence and cross-team integration. Off the clock he’s the kind of engineer who collects obscure wins—like owning a Zulrah pet—suggesting persistence and attention to detail in both craft and hobbies.
9 years of coding experience
5 years of employment as a software developer
Secondary Education, Secondary Education at The Quest Academy
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Kent
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