available for select work

I build systems
that learn.

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about

Engineer and technical leader with 9+ years building data systems, optimization models, and decision-support tools in the energy sector. Now co-founding Fikko — a fintech for shared financial management — where I own the full stack and product decisions end-to-end.

experience
Co-founder & CTO · Fikko
2025 — now
  • Designing and building the full product stack: Next.js, Django, Postgres (Neon), Redis, Celery — deployed on Railway.
  • Built an ML-based automatic transaction categorization model integrated into the core product.
  • Driving product, engineering, and business decisions end-to-end as the sole technical co-founder.
Head of Digitalization · Statkraft
2023 — 2025
  • Led the digitalization team for Statkraft's energy trading arm in Brazil.
  • Designed and oversaw revenue projection systems (Synapse + PySpark) and BI infrastructure used daily by trading and risk teams.
  • Managed analysts, set technical roadmap, and aligned with trading, risk, and executive stakeholders.
Senior BI Analyst → BI Specialist · Statkraft
2020 — 2023
  • Developed credit risk and market risk evaluation application.
  • Implemented a new ETRM system and integrated it with the risk application via APIs and messaging.
  • Built a Datalake and ETL pipelines on Azure Synapse; maintained Power BI dashboards used across the business.
Software Engineer & Quantitative Developer · PSR Energy Consulting
2017 — 2020
  • Implemented stochastic optimization models for energy planning (SDDP model contributions).
  • Built and maintained the full CI/CD infrastructure and automated testing platform for the engineering team.
  • Delivered models for international clients: Colombia's energy regulator (CREG) and Peru's Ministry of Mines and Energy.
education
Postgraduate Specialization in Software Engineering · PUC-Rio
mar 2025 — dez 2026
  • Software architecture (microservices, cloud, DevOps), agile project and product management, and software quality and testing.
  • Intelligent software systems: ML model design, deployment, and automated testing.
  • 480-hour program structured in sprints, each ending with a practical MVP project.
Professional Certificate in Finance · COPPEAD UFRJ
out 2022 — jun 2023
  • Corporate finance, capital structure, financial planning, and company valuation (DCF).
  • Studied derivatives, fixed income, portfolio management, risk management, and ESG frameworks.
  • 160-hour program with academic supervision by COPPEAD/UFRJ faculty, one of Brazil's top-ranked business schools.
Master of Engineering – Decision Support Methods · PUC-Rio
2018 — 2020
  • Coursework: stochastic processes, statistical inference, multivariate statistical methods, linear and nonlinear programming.
  • Applied optimization and probabilistic modeling within electrical engineering and power systems contexts.
  • GPA: 9.1/10.
Master of Engineering – Automated Systems · CentraleSupélec
2014 — 2016
  • Double degree with Escola Politécnica / UFRJ under the international partnership agreement.
  • Deep focus on control theory: state-space, predictive, nonlinear, and hybrid systems control; estimation, filtering, and identification.
  • Coursework also covered power conversion, energy production, numerical methods, and optimization.
Eletrical Engineering · Escola Politécnica da UFRJ
2011 — 2017
stack
PythonPySparkNumPyPandasSQLKafkaAzureDeltalakeSynapsePower BIMetabaseDevOpsMachine LearningOptimizationStatisticsData EngineeringPostgresRedisDockerJuliaC++TypeScriptNextJSDjangoCeleryJenkinsJavaScript
selected work

Simplex Benchmark

Benchmark of the two-phase Revised Simplex in Rust, Python, Julia, C++, Go, and TypeScript. Netlib LP instances; from-scratch pivot logic, timed on median wall-clock and peak RSS.

JuliaPythonC++GoRustTypeScript

Hourly Energy Contract Pricing

Pricing engine for hourly energy contracts, using a stochastic programming model to optimize the contract price. The model is a mixed-integer linear program (MILP) that is solved using the Gurobi solver.

JuliaPythonGurobiPyomo

Energy Price and Consumption Forecasting

Forecasting energy price and consumption using a time series model. The model is a linear regression model that is solved using the PyTorch library.

PythonPyTorchPandasNumPy
writing
The start of Fikko
2026.06.01 · 3 min read
Why I left a confortable job in the energy industry.
Explicando Tesouro Direto — Parte I — Títulos Prefixados
2024.05.04 · 6 min read
Como funcionam os títulos do Tesouro Direto, com foco no Tesouro Prefixado: cálculo do valor de resgate, marcação a mercado e sensibilidade a juros.
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