Romain Flori-Cantrelle

I used the .NET environment with C# for the backend and Vue.js for the frontend.

Communication with accounting experts to better understand business needs.

Developing the accounting part of the application:

I developed an analytical accounting feature that allows radiologists working in multiple hospitals to automatically allocate their services, improving financial tracking and multi-establishment management.

Dashboards: Revenue by hospital, by radiologist, by period.

Payment and settlement tracking: Management of paid/unpaid invoices.

Alerts or reports on late payments.

Creation of slips, grouping of slips, deletion of slips and their status: sent, paid, pending.

I participated in the development of the French billing part of the application, adding features for managing services according to the CCAM nomenclature, automatic calculation of reimbursements, generation of compliant invoices, payment tracking, and reporting, while also fixing bugs and optimizing the billing workflow, which allowed me to advance in my skills.

Added a progress indicator in certain parts of the project (progress bar with status message, as well as an estimated time calculated based on the number of files and download speed).

Handling and fixing application bugs, including urgent incidents reported by clients in production, with rapid diagnosis and resolution.

I integrated an LLM API (ChatGPT Mini) to automatically analyze CCM service documents, allowing for validation and duplicate detection, thereby improving billing reliability and efficiency.

Development of theSherp.aisolution used by BFMTV, TF1, which centralizes data from various social networks like Instagram, etc., all within a SaaS solution. The added value, in addition to data centralization, is an AI that automatically classifies videos into categories, etc.

It is also possible to compare views, impressions, number of videos, and much more.

Learning new front-end and back-end technologies used by the company on the job.

Achieving good progress despite working remotely 4 days out of 5 on average.

During this internship, I handled numerous tickets, including adding important features for the back office and managing data retrieval to display it on the main dashboard of the Sherp.ai application.

This application aggregates data from all social networks for in-depth analysis.

In addition to these tasks, I also developed the official showcase website for Loopsider, making a significant contribution to the company's online visibility.

I also quickly developed the showcase website for the solution developed at Loopsider (Sherp.AI)

As a backend developer at Polyconseil in Paris, I had the opportunity to contribute to a major project for FDJ, collaborating with a team of over 15 backend developers. During this internship, I worked both on-site and remotely, with approximately two out of three days spent telecommuting.

We adopted an agile work methodology, including daily meetings (like the daily stand-up) to ensure good coordination. My work primarily focused on backend development in TypeScript.

Learning TypeScript, which was new to me, adapting to the group's communication and work methods (Agile).

During my six-month internship (three days a week), I had the opportunity to handle several tickets:

I created endpoints to facilitate communication between the mobile application and the back office, enabling data saving in the database.

I also performed unit tests for each ticket using Jest, which was also new to me.

I also developed a homonym control system to prevent identity theft when creating new accounts.

Modified the software's functional diagram after adding my modifications.

Working in Agile methodology: respecting deadlines, participating in sprints, daily meetings, and team code reviews.