Alexander Kowsik is a hands-on CTO and AI Lead with nine years of experience building cloud-native, production-grade AI systems that turn large-scale unstructured feedback into strategic insight. At Predict42 he drives the technical vision for MIGO, embedding LLMs, semantic and multimodal search, RAG pipelines, and agentic AI into a scalable microservice framework called the AI Factory. He combines deep NLP and data-engineering expertise with product thinking, regularly prototyping research ideas into reliable, business-facing features that process hundreds of thousands of feedback items daily. Known for bridging science and engineering, he leads architecture, mentorship, and cross-functional alignment while keeping a strong operational focus on robustness and responsible AI. Based in Germany, he brings a rare mix of hands-on implementation (from vector search to multimodal pipelines) and strategic leadership in feedback analytics at scale.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science (minor: Mathematics), Bachelor of Science - BS Computer Science (minor: Mathematics) at Johannes Gutenberg University Mainz
Master of Science - MS Data Engineering and Analytics, Master of Science - MS Data Engineering and Analytics at Technical University of Munich
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