Raphael Saavedra
Senior Staff Research Scientist at Equilibrium Energy
Cambridge, England, United Kingdom
Summary
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Senior🎓
Top SchoolRaphael Saavedra is a Senior Staff Research Scientist based in Cambridge with eight years' experience building scientific tooling and algorithmic strategies for electricity markets and grid analysis. He designs end-to-end market-clearing simulations (SCUC/SCED), LMP and congestion forecasting, and risk-aware trading strategies that blend quantitative methods with power-systems fundamentals. At Equilibrium Energy and previously Invenia Labs and LAMPS PUC‑Rio he has applied probabilistic forecasting, stochastic optimization, and virtual trading to operational problems across North American and Brazilian markets. An active contributor to open-source optimization tooling, he has improved testing and QA for the widely used JuMP.jl modeling ecosystem. Raphael’s background in electrical engineering and operations research underpins a pragmatic approach to turning complex grid models into production-ready decision tools.
8 years of coding experience
9 years of employment as a software developer
The University of Maryland, College ParkPontifical Catholic University of Rio de JaneiroHigh School, High School at Colégio Santo Agostinho - Leblon
Portuguese, English, Spanish
Stackoverflow
134reputation
3kreached
2answers
0questions
Github Skills (7)
mathematical-programming10
julia10
testing10
optimization9
linear-programming8
mixed-integer-programming7
r6
Programming languages (5)
Github contributions (5)
jump-dev/JuMP.jl
May 2019 - Sep 2022
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:2 reviews, 6 commits, 2 PRs in 3 years 4 months
Contributions summary:Raphael primarily focused on adding and improving tests for the `jump.jl` library. Their contributions included the implementation of new tests for the `set_parameter` function, as well as expanding existing tests for the `Silent` functionality. Furthermore, they made modifications to the test suite by adding assertions related to the "get" function for optimizer attributes and removed unnecessary lines to improve the code.
conic-programsmathematicallinear-programmingnonlinear-programminglinear
invenia/FullNetworkModels.jl
Oct 2020 - Sep 2022
Create a Build a JuMP.jl Model from a FullNetworkSystems.jl System, solved unit commitment, and OPF etc
Contributions:397 commits in 1 year 11 months
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