Bruno Lajoie

Machine Learning Engineer at lewagon tmrowco

Paris, Ile-de-France
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Summary

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Bruno Lajoie is a Machine Learning Engineer with nine years of experience blending ML engineering, data engineering, and team leadership across energy, education, and oil & gas sectors. He co-founded and engineers for ElectricityMaps, contributing open-source backend work that improves real-time CO2 intensity calculations and data parsers for major sources like ENTSO-E and Statnett. A former strategy consultant and dev/data teacher, he pairs hands-on Python/SQL/DevOps skills with product thinking and experience managing devs and data scientists. Trained at a top French engineering school with an online MBA, he brings quantitative rigor and an interdisciplinary curiosity spanning physics, biology and economics. Fluent in French and English with intermediate German, he’s also an avid climber and mountaineer, reflecting a taste for complex, high-stakes problem solving.
code9 years of coding experience
bookFullStack Web Developer, FullStack Web Developer at Le Wagon
bookEngineer Diploma (Master of Science, MSc), General Engineering, Engineer Diploma (Master of Science, MSc), General Engineering at Ecole centrale de Paris
bookBSc equivalent, Fundamental science (Mathematics, physics, chemistry) - MPSI/PSI, Nation-wide exam rank #15 (Ecole des Mines de Paris), #80 (Ecole Centrale Paris), BSc equivalent, Fundamental science (Mathematics, physics, chemistry) - MPSI/PSI, Nation-wide exam rank #15 (Ecole des Mines de Paris), #80 (Ecole Centrale Paris) at Lycée Saint Louis
languagesGerman, English, French
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Github Skills (12)

maps10
javascript10
electricity10
data-parsing10
data-analysis9
climate-change9
api8
apim8
sustainability8
data-visualizations7
data-visualisation7
data-visualization7

Programming languages (10)

TypeScriptShellCMakefileJavaScriptObjective-CHTMLJupyter Notebook

Github contributions (5)

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The open source repository for Electricity Maps App and data parsers that enables a real-time visualisation of the CO2 emissions of electricity consumption
Role in this project:
userBack-end Developer
Contributions:57 commits, 88 PRs, 116 pushes in 2 years 4 months
Contributions summary:Bruno primarily contributed to the project by modifying the `co2eq_parameters.js` and `config/co2eq_parameters.js` files, indicating a focus on refining the data used to calculate CO2 emissions. They added, updated, and corrected carbon intensity factors for various energy sources and countries. Furthermore, the user implemented changes related to parsing and data acquisition from external sources like Statnett and Entsoe, along with fixes for various parsers. Their work involved adjusting data processing logic and integrating external data into the application.
real-timeelectricity-consumptionvisualisationco2-emissionsemissions
brunolajoie/dotfiles

Jun 2020 - Aug 2023

Default configuration for Le Wagon's students
Contributions:2 PRs, 28 pushes, 5 branches in 3 years 2 months
wagon
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Bruno Lajoie - Machine Learning Engineer at lewagon tmrowco