Florent Maisse
HR Data Specialist
Namur, Namur, Belgium
Summary
🤩
Rockstar🎓
Top SchoolFlorent Maisse is an HR Data Specialist and software/data engineer with five years of experience building scalable ERP, HR and data systems. He has been a core contributor to Odoo’s open-source ERP—fixing modules, improving recruitment UX, and helping maintain a codebase used by millions—while also designing a high-performance C++ rendering engine with a Python interface for production deployment. Comfortable across back-end, full-stack and data pipelines, he has integrated diverse external APIs (SOAP, GraphQL, REST) and built ETL/ELT workflows for HR data at scale. As a side project, he architects SWAF, an async Python web framework focused on IO-bound performance, showing his interest in high-throughput systems. He pairs academic training in data science and computer engineering with hands-on Debian packaging, cloud infra (GCP/OVH) and CI/CD practices. Beyond engineering, he’s mentored new hires and has a track record of leadership from student organizations to technical interview panels, reflecting strong communication and ownership.
4 years of coding experience
4 years of employment as a software developer
Master in data science and engineering, Master in data science and engineering at University of Liège
Github Skills (6)
erp10
odo10
python10
odoo10
javascript9
sql8
Programming languages (2)
Github contributions (5)
odoo/odoo
Apr 2023 - Mar 2025
Odoo. Open Source Apps To Grow Your Business.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:261 reviews, 48 PRs, 286 comments in 2 years
Contributions summary:Florent primarily contributed to the Odoo ERP system, focusing on back-end improvements and bug fixes. Their work included enhancing the website_hr_recruitment module by improving the user interface and functionality related to job applications, which involved changes to JavaScript, Python, and associated controllers. The user also addressed issues in the hr and fleet modules, specifically resolving errors and correcting wording. The changes also included fixing an rpc call and removing useless elements in the recruitment form.
pythonodooappserpdjango
Flotchet/churn_prediction
Feb 2023 - Mar 2023
Contributions:49 commits, 21 PRs, 43 pushes in 15 days
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