Jules Robineau

IQVIA HealthCare Authenticator is a set of ready-to-use application components and screens, connected to the world's largest network of healthcare professional data.

Key figures:

- 25 million users worldwide

- $15.4B revenue in (2024) - S&P 500

Organizational Context:

- Team of 18 people

- 3 Go Developers (Backend)

- 4 ReactJs Developers (frontend)

- 2 DevOps

Key Achievements:

- Multi-region SSO Architecture: Design and implementation of an EU/US fallback system with Azure B2C, ensuring service continuity for millions of users.

- Private Mode: Development of a privacy feature protecting healthcare professional data from third-party applications.

- ABAC System: Creation of an application-level rights management tool based on an Attribute-Based Access Control model.

- Distributed Data Management: Distributed queue system allowing each service to manage the deletion of its own data related to user deletion.

Technical Context:

- ReactJs in frontend

- Go with the Chi framework in backend

- GraphQL

- Database: PSQL

- Message Queue: Azure Service Bus

- Cache: Redis

- Microservices architecture

- Docker for containerization

- K8S for orchestration

Kahler develops the first human interaction decoding tool and is among the best training institutes in France, regularly recognized for the excellence of its programs.

Key figures:

- 1.6 million personality profiles created to date

- 2 million euros in revenue in 2023 (+15%)

Organizational Context:

- 1 CTO

- 2 Go developers

- 1 DevOps

- 1 Vue.js developer

During this assignment, I developed a tool in Go to manage static documents. It tracks versions and languages and facilitates updates for advanced users.

I also participated in the refactoring of the backend in Go to improve its structure, performance, and maintainability.

Additionally, I implemented a real-time chat feature in the application, allowing platform users to communicate instantly.

Technical Context:

- Vue.js in frontend

- Go with Gin / Echo / Gorilla frameworks in backend

- GraphQL with Hasura

- PostgreSQL database

- Onion architecture, DDD

- Unit and integration tests

- Microservices

- S3 Bucket

- Docker for orchestration

- Terraform and Ansible for deployment

Visionairy develops AI-based computer vision software to automate visual inspection tasks in factories.

Key figures:

- 30 images to generate a model

- €500k revenue in 2023

Organizational Context:

- 1 CTO

- 1 backend developer

- 2 frontend developers

- 1 DevOps

- 1 AI developer

I developed a tool in Go that transfers information from a local database to a remote one.

I worked on implementing the project's microservices architecture to better meet business needs.

To better understand Modbus and BusCAN protocols, I recoded these protocols to create tools better suited to specific needs.

I was responsible for backend development in Go and Python for the cloud part as well as for embedded systems in industry.

I participated in implementing the RBAC (Role-Based Access Control) principle in the various microservices. This strengthened security by controlling access to resources based on user roles.

Finally, I set up a DevSecOps environment. This automated deployments and integrated security from the beginning of the development cycle.

Technical Context:

- Python / Go in backend

- Go with the Gin framework

- Python with Flask, FastAPI frameworks

- PostgreSQL relational database

- MongoDB non-relational database

- S3 Bucket

- Unit and integration tests

- Microservices

- MCS Architecture

- Docker for orchestration

- Terraform for deployment