Vladimir Damov is an AI engineer and founder with eight years of hands-on experience designing production-grade, agentic AI systems and cloud-native platforms from Sofia, Bulgaria. He has built RAG knowledge platforms, multi-agent workflows, and PII-safe embedding pipelines using cutting-edge stacks (LangChain, Groq LLMs, ChromaDB/pgvector) while shipping resilient infrastructure via Docker, Kubernetes and blue-green GitLab CI/CD on bare-metal. At KPMG he led Prompt Flow-based Azure AI Foundry projects and integrated agentic flows into Django Ninja microservices and React frontends, balancing research on Azure OpenAI models with pragmatic production concerns. His background spans low-latency data engineering and full-stack product delivery for retail advertising platforms, giving him a rare blend of ML prompt engineering, systems design, and operational expertise. An entrepreneur who builds tooling to extend agent interactions, he often focuses on cost-performance trade-offs and end-to-end PII-safe data flows that aren’t obvious from job titles alone.
8 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Business Management & Entrepreneurship, Bachelor's degree, Business Management & Entrepreneurship at New Bulgarian University
Computer Programming, Computer Programming at Software University (SoftUni)
Contributions:12 releases, 20 pushes, 11 tags in 3 days
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