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Leonardo Furlan

@leonardofurlan

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Product Engineer specializing in AI systems, data pipelines, and backend integrations.

Brazil

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What I'm looking for

I’m looking to build production-ready AI and data-driven products end to end—turning business needs into scalable pipelines, reliable backends, and automation that reduces manual work and improves decision-making.

I’m a Product Engineer with 8+ years of experience building end-to-end data and AI-driven systems. I specialize in turning complex business requirements into scalable, production-ready applications, combining strong product ownership (CSPO) with deep technical execution.

I integrate applied AI (LLMs, RAG, AI agents) with robust backends, data pipelines, and external APIs to deliver complete automations. I’ve led end-to-end AI workflows and built multi-objective optimization and Explainable AI (XAI) features that reduce manual analysis and improve operational efficiency.

Experience

Work history, roles, and key accomplishments

Current

Product Engineer & Data Integrations

Current

Vulcaflex

Jan 2019 - Present (7 years 4 months)

Built internal tools and analytical models to automate industrial processes and quality control by connecting physical operations to digital backend systems. Developed end-to-end data pipelines and ETL processes and implemented optimization engines to identify inefficiencies and streamline manufacturing operations.

Python Data Pipelines ETL Analytics Modeling SQL PostgreSQL Docker

AI Product Engineer

Next Solutions / Igreen Energy

Sep 2025 - Dec 2025 (3 months)

Led end-to-end development of AI systems to automate and optimize business processes, translating business needs into production-ready backend solutions. Designed LLM-based workflows and integrated external APIs to deliver automation pipelines that improved operational efficiency and reduced manual workloads.

Python LLM REST APIs Workflows Prompt Engineering Process Automation Agile Scrum