Fiodar Sazanavets
Senior Ai Engineer @AVEVA
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WORK HISTORY
Senior Ai Engineer @AVEVA
Cambridge, GB
Designing and deploying enterprise AI agents for industrial intelligence and automation- Built orchestrated AI agents for document analysis, large-scale data reasoning, engineering calculations, and on-demand diagram generation- Implemented secure prompt/context engineering and guardrails to mitigate prompt injection and ensure reliable agent behaviour- Optimised semantic retrieval performance in Azure AI Search and evaluated RAG quality- Delivered production agentic systems using Azure AI Foundry, Semantic Kernel.
EDUCATION
Lancaster University
Environmental Informatics, Geographic Information Science and Remote Sensing
Lancaster University
Environmental Biology BSc, Biological and Environmental Sciences
ABOUT FIODAR SAZANAVETS
I am a fractional CTO, AI focused Staff level software engineer, and hands-on technology advisor who helps organisations design, build, and scale large data-intensive cloud systems.I have more than a decade of experience across fintech, government, IoT, and industrial AI. My core expertise is in.NET, Azure, distributed architecture, and modern AI and LLM-based platforms. My work ranges from deep technical architecture and hands-on engineering to technical strategy, operating model design, and engineering team development.I am particularly passionate about practical enterprise AI adoption, including agentic AI, retrieval augmented generation, and production-grade cloud AI systems. I focus on turning emerging technology into clear and measurable business value.Alongside my industry work, I am an active educator and published technical author. I create professional training courses for platforms such as Pluralsight and DataCamp, collaborate with major publishers including Manning, Apress, Packt, and Educative, and mentor engineers progressing into senior and leadership roles. Several of my books have reached number one bestseller positions on Amazon and Leanpub.I typically work with organisations that need to architect or modernise large-scale cloud or AI platforms, introduce stronger technical structure and engineering standards, upskill software engineering teams, or bridge the gap between business strategy and deep technical execution.If you are building something ambitious in cloud, data, or AI, feel free to reach out.
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