Bruno Gayet
Ai Software Developer @Opensport.Io
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WORK HISTORY
Ai Software Developer @Opensport.Io
Vancouver, BC, CA
AI Software Developer (com visão de produto), desenvolvendo sistemas AI-native e agentes inteligentes aplicados a cenários reais de performance- Projetar e desenvolver agentes de IA do zero, cobrindo todo o ciclo de vida, desde ingestão de dados até deploy- Construir workflows de IA prontos para produção, integrando LLMs, APIs e pipelines de dados para casos reais de uso- Colaborar na definição de arquitetura, padrões de agentes e estratégias escaláveis de sistemas de IA- Evoluir continuamente o desempenho dos agentes com base em feedback real, ciclos de avaliação e melhoria contínua- Explorar modelos, prompts e fluxos para otimizar acurácia, latência e custo- Desenvolver serviços backend com Node.js e Python, integrando bancos SQL e infraestrutura em cloud (Azure)- Garantir qualidade por meio de validação, testes e uso responsável de outputs gerados por IA
EDUCATION
Niagara College - Toronto
Diploma of Education, Computer Programming
Universidade Federal de Mato Grosso do Sul
System Analysis and Development, Computer Systems Analysis/Analyst
Universidade Estadual de Campinas
Specialization, Statistical Process Control
ABOUT BRUNO GAYET
I’m a Product Engineer with a strong Software Engineering foundation, operating at the intersection of product thinking and hands-on execution. My career has consistently combined ownership of product direction with deep technical involvement — turning ambiguity into clear direction and working software.Over the years, I’ve worked across multiple stacks and technologies, which allowed me to build breadth and, at the same time, deepen expertise where it matters most. Today, I primarily work with Python and Node.js (JavaScript/TypeScript) on the backend and React / Next.js on the frontend, designing scalable systems, shipping production-ready features, and automating complex workflows.More recently, I’ve been focused on AI-native systems — building LLM-powered workflows with LangChain and orchestrating agents, subagents, and decision flows embedded into real operations. Throughout my career, I’ve led initiatives that significantly reduced manual processes and unlocked meaningful efficiency and revenue gains for the organizations I’ve worked with.I thrive in startup environments where experimentation drives progress. I move comfortably between discovery, architecture, and implementation — building fast, measuring impact, and evolving continuously to deliver clarity, speed, and measurable business outcomes.
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