Franck Barbedor is an LMTS software engineer at Salesforce with a decade of experience bridging data analysis, NLP research, and production software delivery. He holds a Master's in Information Technologies and has applied ML and big-data tooling—Python, Spark, Docker, Solr—on projects from predictive client caching in search to large-scale named-entity disambiguation on a century of newspaper archives. His background combines research at CRIM with business-facing BI work at Société Générale and hands-on engineering early in his career, giving him fluency across experimentation, deployment, and stakeholder-driven requirements. Based in France, he has repeatedly translated academic problems into production-ready solutions within enterprise contexts. Less obvious: he pairs deep technical work with practical product sense, having delivered end-to-end applications for public-sector and media clients while still a student. Currently open to roles in data analysis where he can leverage both his ML research experience and enterprise engineering track record.
10 years of coding experience
5 years of employment as a software developer
Computer Engineering, Computer Engineering at Institut national des Sciences appliquées de Rennes
Master's degree, Information Technologies, Master's degree, Information Technologies at École de technologie supérieure (ÉTS)
This project is a first step in integrating GitHub into Salesforce. Its vision is enabling developers to have a single consolidated view of all the projects they are working on or are interested in, directly in Salesforce, with tight coupling with standard Salesforce objects such as Users, Cases and Work Items (available in Agile Accelerator app).
Contributions:15 commits, 19 PRs, 15 pushes in 2 months
Contributions:1 review, 4 commits, 5 PRs in 2 years 3 months
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Franck Barbedor - LMTS Software Engineer at Salesforce