Maxim Schuermans

Evaluated and modified LLM-based pipelines using Python, LangChain, and LangSmith. Contributed to both frontend and backend of the main user interface (TypeScript, React, Node.js). Built a Retrieval-Augmented Generation (RAG) chatbot using LangGraph, Azure AI, and TypeScript.

Completed real-world Data/AI projects with becode partners (Proximus Ada, Orange Business, Immoweb). Tasks included training ML models, data scraping/cleaning, and working with LLM APIs.

Bachelor of Science in Computer Science (1 year completed)

Bachelor of Science in Physics (2 years completed)

Secondary School Diploma - Human Sciences