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SnaetWarre/README.md

Warre Snaet

AI Engineering Student | Machine Learning Enthusiast

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About

Currently in my final year studying AI Engineering at Howest University of Applied Sciences in Belgium. Focused on artificial intelligence, machine learning, and full-stack development with expertise in C#, Python, and modern web technologies.

Specializations: Artificial Intelligence • Machine Learning • Cloud Computing • Full-Stack Development


Featured Projects

Event Chatbot & Vector Embedding Service

Industry Project for Kortrijk XPo Groups

Full-stack AI solution for intelligent event Q&A using vector embeddings and Azure OpenAI. Features real-time chat capabilities, automated web scraping for event data ingestion, and comprehensive analytics dashboard.

Technologies: .NET, Python, Azure OpenAI, CosmosDB, Next.js

View Repository →


WaterAdventure - Early Water Confidence Platform

Team Project

Comprehensive platform connecting swimming coaches and parents to develop water confidence in toddlers (ages 2-6). Implements role-based dashboards, progress tracking, and multi-language support with a focus on user experience and accessibility.

Technologies: SvelteKit, TypeScript, Prisma, PostgreSQL, TailwindCSS, Docker

View Repository →


Dataset Query Socket Application

High-performance client-server application for real-time dataset analysis and querying. Features user authentication, operator capabilities, live logging, and statistical visualizations using Python's scientific computing stack.

Technologies: Python, Sockets, Threading, Pandas, Seaborn, Matplotlib

View Repository →


Technical Skills

AI & Machine Learning
Python • NumPy • Pandas • scikit-learn • SciPy • Matplotlib

Programming Languages
C# • Python • JavaScript • TypeScript

Web Development
.NET • Node.js • SvelteKit • Next.js • Flask • TailwindCSS

Databases
MySQL • PostgreSQL • Prisma ORM • Azure CosmosDB

Cloud & DevOps
Microsoft Azure • Docker • Kubernetes

Tools & Other
Git • Figma • Arduino • REST APIs


Current Focus

Building a custom neural network implementation in Rust optimized for edge device deployment, exploring efficient ML model execution on resource-constrained hardware.


Contact

Open to internships and collaboration opportunities in AI/ML and Cloud Development

Pinned Loading

  1. ElliotHeyse/TeamProject_waterAdventure ElliotHeyse/TeamProject_waterAdventure Public

    Svelte 2

  2. Industry-Project-Xpo-Group Industry-Project-Xpo-Group Public

    C#

  3. Server-Client-Python Server-Client-Python Public

    Python

  4. Project-One Project-One Public

    ProjectOne

    SCSS