Deyan Yotsov is an AI engineer based in Budapest with nearly two decades of software development experience and over a decade focused on data and ML systems, including three years in team leadership. He builds production-grade LLM solutions (RAG, agentic RAG, semantic chunking) and scalable data pipelines that handled up to a trillion events per month, combining backend, ML and MLOps expertise. At Raiffeisen and Comscore he developed agent frameworks, improved RAG testing and delivered an internal 1M-chunk retrieval tool using pgvector and modern LLMs. Comfortable across the stack, he has hands-on experience with Spark, Kafka, Trino, AWS, and CI/CD for ML, and has led training and ISO 27001–compliant projects. Notably, he has repeatedly shipped end-to-end products—from a contracts search engine as a solo founder to enterprise chatbots—bridging research and production.
11 years of coding experience
14 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at Sorbonne University
Contributions:18 commits, 17 pushes, 1 branch in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.