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Research internship as part of my master's in Computer Science at the University of Namur. I worked on improving the relevance of the context sent to an LLM to generate unit tests in the TestSpark plugin, reducing context size while preserving performance.
- Created a graph to understand relationships between the different elements of the context
- Reduced the context size by an average of 97% while maintaining the same performance
Completed several contracts for various companies: business management, e-learning, image analysis, associations
- Improved a chatbot using an LLM + RAG
- Optimized the performance of the permis-b.be website
- Designed and implemented an API for looping.green
- Automated invoice processing from email using Azure serverless
Adding features to the permis-b.be website, including the development of an intelligent chatbot using end-to-end Generative AI.
- Generation of audio files using Azure Ai Speech
- Creation of a chatbot to learn the Belgian driving license through promptflow
- Management and indexing of data related to regulations and the theory of the Highway Code
- Implementation of a feedback system to improve the relevance of responses
- Integration of the chatbot into the website on the front-end (Angular) and back-end (Asp.Net)
Development of enterprise management, event management, and funeral home systems using NodeJs, NextJS, Prisma, Postgres, tRPC, Express, Typescript, Azure AI, and Azure Functions.
- Setting up the project to optimize the developer experience
- Choosing the technical stack to optimize development time through the sharing of a unique template for different projects
- Accelerating the processing time of invoices sent by suppliers from an email address using Azure Logic Apps, Azure Functions, and Azure Ai Document Intelligence.
- Deploying applications on different VPSs using Docker
- Securing VPSs
Creating several projects focusing on new technologies for technical demonstrations. Particularly on AI, IoT, and serverless using Azure services, TypeScript, and .NET.
- Creating a facial recognition authentication tool using Azure AI Vision
- Automating a coffee machine using Azure IoT Central coupled with facial recognition to prepare the user's coffee when they arrive at the machine
- Creating a demonstrator for extracting information from an image using Azure AI Vision and Azure Functions
Designing and implementing a Web tool for optimizing fields in permaculture using React, TS, Asp.Net, C#, MongoDB, Leaflet
- Designing the user interface
- Developing an optimization algorithm using data provided by the client
- Optimizing the creation of plots in the application using cadastral data from the Walloon region
Projects Link to heading
- Training a model for classifying household waste images using Azure AI Vision
- Integration of the model into the mobile application's API using Firebase
- Creation of a web application for managing sports session reservations
- Collaboration with the ASBL team to meet expectations
- Use of Svelte kit, tailwind, Typescript
- Creating a mobile application
- Using Flutter
- Learning about the deployment of a mobile application
Education Link to heading
With Great Distinction