Top expert inNatural Language Processing and Machine Learning Technologies
Maxime Verger-muller is a Director of Engineering with 11 years of experience building and scaling production-ready backend systems, currently leading engineering at Rasa in Berlin. He blends hands-on backend and DevOps expertise with people management, having moved up from engineering manager to director while contributing directly to Rasa's open-source core projects. A former founder and CTO, he scaled a consumer-facing startup to 20k+ MAUs and ran product, analytics, and release operations end-to-end. His background spans high-throughput web platforms and early blockchain experimentation, reflecting a comfort with both mature stacks (Python/Django, Celery, Redis, Postgres) and cutting-edge systems work. Notably, he has automated release workflows and improved SDK tooling for Rasa, and contributed documentation and channel integrations to the widely used RasaHQ/rasa repo. He combines startup grit with structured engineering processes and a track record of shipping reliable conversational-AI infrastructure.
11 years of coding experience
11 years of employment as a software developer
AngelPad
Diplôme de l'Ecole Polytechnique Networks and Communication, Diplôme de l'Ecole Polytechnique Networks and Communication at École Polytechnique
Diplôme d'ingénieur Computer Science, Diplôme d'ingénieur Computer Science at Télécom Paris
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
Role in this project:
Back-end Developer
Contributions:902 reviews, 1341 commits, 500 PRs in 2 years 10 months
Contributions summary:Maxime's contributions primarily focused on the backend, specifically within the documentation and plugins for the project. The commits reveal the user working on the documentation's new system, enhancing the functionality of the included source plugin, and fixing issues related to space in regex within the code. Furthermore, the user addressed implementation details related to the botframework channel, showing active involvement in the backend development of the project.
SDK for the development of custom actions for Rasa
Role in this project:
Backend & DevOps Engineer
Contributions:26 releases, 95 reviews, 141 commits in 2 years 8 months
Contributions summary:Maxime primarily contributed to the automation of the release process for the Rasa SDK, including the creation of GitHub releases upon tag pushes. They implemented a script to generate release notes from the CHANGELOG.rst file, and another script to update the version number across different files. The user also addressed typing issues within the codebase.
custom-actionspythonrasasdk
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.