Luis Bueno

I am Luís Henrique Domingues Bueno, a researcher and engineer in Data Science focused on Stochastic Optimization, Artificial Intelligence, and Decision Systems. Currently, I work as a Data Science Researcher at AEVOTECH, developing the infrastructure for implementing AI models applied to decision-making systems.

I have experience in mathematical modeling, scientific programming, and intelligent agent development. I previously worked as an optimization researcher at ONS, implementing multi-stage policy-based frameworks using Julia and JuMP.

My main interests include Machine Learning, Stochastic Programming, Robust Optimization, Agentic Systems, and Data Engineering.

Technologies

I am Luís Henrique Domingues Bueno, a researcher and engineer in Data Science focused on Stochastic Optimization, Artificial Intelligence, and Decision Systems. Currently, I work as a Data Science Researcher at AEVOTECH, developing the infrastructure for implementing AI models applied to decision-making systems.

Education

• MSc in Mathematical Modeling and Data Science - FGV EMAp - (2024 - 2027)
• BSc in Data Science and Artificial Intelligence - FGV EMAp - (2022 - 2025)
• Technical Degree in Chemistry - ETECAP (Conselheiro Antônio Prado Technical School) - (2019-2021)

Experience

• Data Science Researcher - AEVOTECH - (Dec/2025 – Present)
  • Designed data infrastructure for implementing AI models in decision systems.
  • Developed intelligent agents using LangChain, LangGraph, and LLM workflows.
  • Built automated pipelines and agent-oriented architectures.
• Optimization Researcher - ONS - (Jan/2024 – Jan/2025)
  • Improved long-term planning models under uncertainty.
  • Implemented multi-stage policy-based frameworks (Julia, JuMP).
  • Developed adaptive decision structures.
• Excel Instructor - FGV - (Jan/2024 – Dec/2025)
  • Developed a structured Excel course series for Data Science.
  • Trained more than 6,000 students.
  • Advanced topics: Power Pivot, DAX, Data Modeling, and Dashboards.
• Data Science Intern - FGV - (Dec/2023 – Apr/2025)
  • Built internal data integration and organization pipelines.
  • Automated reports using SQL, Pandas, and Power BI.

Skills

• Languages
  • Portuguese - Native
  • English - Fluent
• Programming
  • Python
  • Julia
  • R
  • C++
  • SQL
• Databases
  • MySQL
  • MongoDB (NoSQL)
  • Microsoft SQL Server
• Cloud & DevOps
  • Azure
  • AWS
  • Docker
  • Git/GitHub
• AI & Machine Learning
  • PyTorch
  • Scikit-Learn
  • LLM Workflows
  • Agentic Systems
  • FastAPI
• Mathematics & Optimization
  • Stochastic Programming
  • Robust Optimization
  • Piecewise Linear Decision Rules
  • Dynamic Programming
  • Monte Carlo Simulation
  • Regret Analysis

Awards

• Scholarship for Performance in Mathematics Olympiads - FGV EMAp
• OBMEP
  • Gold (2016)
  • Silver (2017, 2021)
  • Bronze (2015, 2018)
• OBA - Silver (2019)
• OBFEP - Silver (2019)
• Lavoisier Award – CRQ IV (2021)

Projects

• Piecewise Linear Decision Rules (PWLDR) – Julia Library

  Development of a Julia library for modeling adaptive policies in multi-stage stochastic optimization problems. Integrated with JuMP and supporting scenario-tree based formulations.