
Adrian V. Duda
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Building AWS and AI solutions that turn data into actionable insights
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AWS Data Engineer & AI Consultant
Duda Adrian-Vasile PFA • Lavoratore autonomo
Dec 2023 - Present • 2 yrs 10 mos
CORE EXPERTISE • AWS Data Engineering (Data Lakes, ETL/ELT, Pipelines) • Cloud Architecture & Automation for scalability and cost efficiency • AI/LLMs & Intelligent Agents for analytics and reporting • Designing & Deploying LLM-based Systems (LangChain, RAG, Vector Databases) Recent work includes designing and maintaining a Data platform on AWS for Zeo Energy (via Cinco), delivering reliable data pipelines, streamlined migrations, reporting solutions, and AI agents for business teams. • Designed, built, and maintained a scalable AWS Data Lake and automated pipelines for Zeo Energy, delivered as a freelance engagement with Cinco — ensuring consistency, reliability, and availability. • Executed data migration of Zeo Energy’s legacy systems to AWS with minimal downtime. • Developed and optimized reporting solutions that improved access to timely, decision-ready insights at Zeo Energy. • Implemented LLM-powered AI agents with Cinco to enable non-technical Zeo Energy teams to access actionable insights, improving efficiency and user satisfaction. • Collaborated with product and engineering stakeholders at Cinco and Zeo Energy to align data infrastructure with business goals in the renewable-energy domain.
AI Expert
ETSEME
Apr 2023 - Sep 2023 • 5 mos
Domain: Artificial Intelligence, Cognitive Sciences Worked on the end-to-end aspects of utilizing Machine Learning capabilities on an innovative digital solution that decodes human physiological dynamics to alert and improve the well-being of users, particularly in the industrial sector.
Machine Learning & Cloud Consultant
Haefeli & Schroeder Financial Lines AG
Jun 2022 - Jan 2023 • 7 mos
Domain: Insurance Assessed the benefits of using Cloud Environment for the first online Financial Lines Insurance platform in Switzerland. • Analyzed and presented potential architectures using Azure and AWS, for team that has not used Cloud before.