François Allain Email & Phone Number

Paris, Île-De-France, France

Paris, Île-De-France, France

- Setting best practicies and mentoring a team of 10 junior to intermediate fullstack developpers torearchitect and refactor a MVC Django monolith by implementing a service layer enabling an event-driven architecture, thus increasing team's velocity at delivering value- Improve and evangelize a better testing methodology by making it more functional with the use of Behavior Driven Development and filling the gap with the Product team by talking the same ubiquitous language- CTO’s right hand person to discuss the public API’s future decisions, perceived risks & technical debt vs velocity tradeoffs in new features development

Paris, Ile-De-France, France

County Dublin, Ireland

- Second employee and thus Startup Swiss army knife : had to be highly adaptable and learn quick to embrace fast-pace change in a startup environment- Designed distributed software architecture in Python on premise, in Heroku, AWS and GCP to meet startup ever-changing requirements- Designed, developed & troubleshot dockerized on-premise Python/C++ intensive datapipelines able to process online multiple 10 FPS 4k IP cameras videostreams , using OpenCV, Gstreamer pipelines, Redis for IPC, GPU based Tensorflow-serving/NVIDIA TensorRT deep learning framework using docker-compose, docker Swarm and Ansible.- Collectively improved Engineering Processes with Continuous Integration and Continuous Deployment (CI/CD) pipelines including static code analysis and end-to-end tests- Collectively improved the backend engineers hiring process

Dublin

- Developed distributed Computer Vision microservices (OpenCV, Numpy, Scipy) to process agriculture drone imagery on the cloud (Heroku, AWS and Docker, )

Marcoule (30)

• Software engineering on the prototype developed during my PhD thesis• Model selection and validation with Matlab and Python scikit-learn

Marcoule (30), France

• 1 european patent application (EP13306125.9)• Academic and industrial collaboration: "Novel method for the interpretation of tandem mass spectrometry data for the identification of microorganisms in a complex sample", resulting in a software prototype and a novel identification approach• Directed by Professors Jean ARMENGAUD from the biology research team LBSP of the CEA (DSV-iBEB-SBTN-LBSP) and Stéphane CANU from the applied mathematics research team LITIS of the INSA de Rouen • Writing of a PhD thesis

Marcoule (30), France

6-months research internship in the field of Computer Science applied to tandem mass spectrometry data

Doctor Of Philosophy (Ph.D.), Computer Science

Professors Jean ARMENGAUD from the biology research team LBSP of the CEA (DSV-iBEB-SBTN-LBSP) and Stéphane CANU from the applied.

Master'S Degree, Multimedia Information Processing Systems : Speciality Datamining

Master'S Degree, Information Systems Architecture And Datamining