Projects

Project Overview An interactive web application developed to engage visitors in real-time. This application was a key component of the French exhibition stand at the HFU International Festival 2025, which was voted “Best Stand by the Jury.” Key Implementation Details Efficient Delivery: Built using Go to ensure low latency and concurrent connection handling on a local server. Lightweight Frontend: Designed using raw, responsive HTML, CSS, and vanilla JS to maintain high compatibility across different mobile devices. Dynamic Configuration: Formatted questions dynamically to allow instant content modifications during the event. 🔗 GitHub Repository | 🌐 Live Demo

Project Overview A professional, custom showcase platform built for a cabinetmaker. The design focus was to provide an elegant visual portfolio while keeping administrative updates simple for the client. Key Implementation Details Bespoke CMS: Programmed a custom content administration system in Go with a responsive web editor, allowing the client to update project descriptions and upload photos without touching any code. Container Deployment: Deployed using Docker Compose behind an Nginx Proxy Manager setup to guarantee automated SSL encryption and routing. Zero-DB Architecture: Opted for file-based configuration to ensure low maintenance, fast load times, and simple system backups. 🌐 Live Showcase

Project Overview A terminal utility built to perform file path swaps safely. Swap CLI ensures filesystem changes are executed correctly, resolving problems with traditional manual renaming methods. Key Implementation Details Memory & System Safety: Coded in Rust to utilize compile-time safety checks and secure path operations. Transactional Architecture: Designed to verify operations at each step, preventing file loss by automatically rolling back to the original state if any system error occurs. Zero Overhead: Engineered to execute instantly with a minimal system footprint. 🔗 GitHub Repository

Project Overview An academic project built with a team of 4 students to deploy private, offline artificial intelligence. The objective was to design a system that automates downloading and running large language models locally with hardware acceleration. Key Implementation Details Containerized Orchestration: Developed an integrated Docker Compose environment that automates installing and running Llama.cpp libraries. Hardware Pass-through: Configured NVIDIA Container Toolkit integration to leverage CUDA on host GPUs, accelerating inference speeds. Quantization Pipeline: Automated model quantization scripts to output GGUF formatted models, reducing local RAM overhead while maintaining response quality. 🔗 GitHub Repository

Project Overview Developed in collaboration with an academic team of 4 classmates, this project provides a full-stack dashboard built to collect, structure, and visualize live data streamed from remote IoT sensors. Key Implementation Details Scraping Daemon: Programmed a persistent Python worker background thread to monitor and parse incoming MQTT broker payloads. Data Indexing: Configured a Django backend mapped to a MariaDB database to structure, save, and retrieve telemetry data points. Interactive UI: Engineered a clean, interactive user dashboard using Chart.js to render real-time charts, featuring date filters and a raw CSV data exporter. 🔗 GitHub Repository