Kazik Pogoda
Artificial Intelligence Researcher at Foresight Institute
Berlin, Germany
Summary
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Rockstar🎓
Top SchoolKazik Pogoda is an Artificial Intelligence Researcher and CTO based in Berlin with 16+ years of experience building scalable, production-grade systems and award-winning agentic AI (winner of AI Hack Berlin). He leads Xemantic’s work on autonomous, metacognitive agents (Golem XIV) and consults on deploying self-directed AI over Claude/Anthropic stacks while teaching Agentic AI to JVM-focused developers. His background as a software architect and lead developer includes designing high-throughput geospatial databases and a BPM engine that handled hundreds of thousands of insurance processes, demonstrating a rare blend of systems engineering and domain modeling. Comfortable across Kotlin multiplatform, cloud-native microservices, computer vision and creative technologies, he moves between deep research and pragmatic delivery. He also co-runs arts collective Prachtsaal and applies generative/immersive media skills to both installations and computational art, reflecting an unusual fusion of technical depth and creative practice. His open-source-first approach (AGPL releases like golem-xiv) underscores a commitment to reproducible, community-driven AI.
16 years of coding experience
19 years of employment as a software developer
West Pomeranian University of Technology in SzczecinMaster of Philosophy (M.Phil.), Cognitive Science, Master of Philosophy (M.Phil.), Cognitive Science at Uniwersytet Szczeciński
Polish, English, German
Stackoverflow
1,345reputation
77kreached
27answers
11questions
gwt
top-5%
Github Skills (159)
javascript-framework10
ktor10
shadertoy10
floating-point10
web-development10
javascript10
gwt10
glsl10
graphic10
kotlin-multiplatform10
generative-art10
webgl10
jvm10
uniform10
ktor-client10
Programming languages (10)
Github contributions (5)
xemantic/xemantic-typescript-compiler
Feb 2026 - Jul 2026
Contributions:4 PRs, 1405 pushes, 9 branches in 4 months
xemantic/xemantic-ai-file-magic
Dec 2024 - Jul 2026
Detecting file media type before submitting binary content to LLM, a small Kotlin multiplatform library.
Contributions:5 releases, 58 PRs, 20 pushes in 1 year 6 months
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