Laurent Andriamifidy
Software Engineer at Kraken
Bordeaux, Nouvelle-Aquitaine, France
Summary
🤩
Rockstar🎓
Top SchoolLaurent Andriamifidy is a Python-focused backend staff engineer with five years of formal software experience and a decade-long foundation in finance and risk management. Based in Bordeaux, he currently engineers at Kraken while also leading HTMX as CEO, blending hands-on delivery with strategic technical leadership. His background spans Django, htmx, Postgres, and data engineering tools (Airbyte, DBT, Dagster), and he has driven architecture, CI/CD, and test automation at scale. An active open-source contributor, he implemented options trading analytics and volume visualizations for the widely used OpenBB finance platform, bridging financial domain knowledge with polished UX. He has repeated experience building and grooming teams, reducing technical debt, and teaching data skills—skills that make him comfortable switching between code, architecture, and mentorship. Notably, his mix of treasury middle-office experience and modern backend craft gives him an uncommon fluency in translating trading requirements into robust production systems.
5 years of coding experience
10 years of employment as a software developer
Data Analysis , Data Analysis at Wild Code SchoolBachelor's degree Business and administrations management., Bachelor's degree Business and administrations management. at IUT de Paris - Rives de Seine
French, English, German
Github Skills (11)
data-visualizations10
data-visualization10
data-visualisation10
python10
plotly9
seaborn9
finance9
api8
user-interface8
apim8
pandas8
Programming languages (8)
Github contributions (5)
OpenBB-finance/OpenBB
Mar 2021 - Mar 2021
Investment Research for Everyone, Everywhere.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:34 commits, 5 PRs, 11 comments in 9 days
Contributions summary:Laurent primarily contributed to the development of an options trading analytics feature within the larger finance application. They implemented the volume graph functionality, which involves fetching and visualizing option chain data from a financial API. The user also created and integrated an options submenu, enabling navigation and interaction with the new feature. Moreover, they refactored and cleaned up existing code, ensuring a streamlined user experience.
stock-marketpythonalgorithmic-tradingmachine-learningtrading
lolrenx/GamestonkTerminal
Mar 2021 - May 2021
The next best thing after Bloomberg Terminal
Contributions:47 pushes, 5 branches in 1 month
terminalbloombergpythoncli
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