I am a passionate Developer and gratuated MSc Software Architecture, Application Development student at Epitech, with hands-on experience in building modern, scalable applications. My background combines web development (both frontend and backend), AI giving me, big data and software engineering, a solid full-stack perspective.
In previous projects, I have:
Developed a Python API that communicates with external web APIs to centralize and transform data.
Developed an AI to generate preset and music sample, and was specially in charged to coonect the AI models to the front-end.
Built a personal React web interface with dynamics desgin.
Created an API for data collection from web pages, strengthening my skills in integration and automation.
Automating digital engineering processes (CAD and CFD) using sparse AI to facilitate and accelerate the work of my engineering colleagues.
What makes me stand out is my ability to adapt quickly, learn new technologies efficiently, and deliver clean, maintainable code. I have strong knowledge of JavaScript, React, Python, Flask, web development and RESTful APIs.
I am highly motivated, detail-oriented, and capable of working both independently and collaboratively in agile teams. My goal is always to create impactful solutions while continuously improving my skills and contributing to the success of the projects I join.
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I worked on creating AI-powered tools that process and generate sound and music data. The project involved training models on audio and MIDI datasets to produce new sounds, transcriptions, and presets. Users can specify parameters such as type, genre, duration, and even the desired instrument in a prompt, and our algorithms and AI models generate a completely new audio sample accordingly. The same concept applies to preset generation (except for the instrument selection).
I designed and trained the models, prepared and managed the datasets, and developed Python scripts for sound generation and preset creation for synths like Vital. I also contributed to the website’s design, built with Angular.js, and implemented the connection between the AI backend and the frontend via a Flask API. Essentially, I was responsible for both the AI model development and data engineering aspects of the project.
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