I’m a Junior Back-End Developer with a background in Audio Programming and Technical Sound Design. My expertise includes DSP, NLP and developing software with Django. I’m also certified in Music Technologies from Steinberg and in Programming.
I work with GitBash, MSYS2, and PowerShell. Currently, I focus on AI and NLP using libraries like NLTK and spaCy.
Explore my repositories for educational projects and experiments.
Some of my repositories are educational and contain experiments aimed at exploring new techniques and concepts. These projects serve as learning tools and may not be fully developed software solutions.
You can view and download my resume using the link below:
Download Resume
Check out my CodeAcademy Profile
| Project | Description | Technologies |
|---|---|---|
 Audio Transcription |
Django-based web application for uploading audio files and obtaining transcriptions using the speech_recognition library. | Django, Python, Speech Recognition |
 Simple Translator |
Django application that translates text from Italian to English using Google Translate, displaying results on a separate page. | Django, Google Translate API |
 Digital Audio Archive |
Web application for uploading, viewing, and managing audio files, utilizing Node.js, Express, Multer, SQLite, and EJS. | Node.js, Express, SQLite, EJS |
 Traffic Monitor |
Web application for calculating the shortest path between two points on a map and predicting traffic conditions using Dijkstra's algorithm and KNN. | Flask, Python, Leaflet, OpenStreetMap, Render |
 Champions League Predictor |
This web application predicts the number of goals scored by a team in the Champions League based on various statistical parameters. It uses a linear regression model trained on a historical dataset of team performances. | Flask, Python, Pandas, Scikit-learn, Render |
 Library-Assessment |
This Django application provides a comprehensive system for managing a library, with features for authentication, search, and recommendation. | Django, Django RestFramework, Django Rest Framework-Simple jwt |
 Audio Classification |
Prototype Django app for uploading and classifying audio files using PCA for feature reduction and KNN for classification. Designed for future extension with additional data and classes. | Django, Python, PCA, KNN |
| Project | Description | Technologies |
|---|---|---|
 Chatbot Repository |
Prototype of a ChatBot designed for audio playback and other audio-related functionalities in video games and various applications. | Python, Audio Processing |
 Chatbot_App |
A GUI application that leverages NLP techniques such as tokenization, stemming, lemmatization, and POS tagging, built with Tkinter. Integrates various NLP functionalities into an intuitive interface. | Python, Tkinter, NLP, DialoGPT |
| Project | Description | Technologies |
|---|---|---|
 PCOptimizerAI |
Application optimized for computer resources using AI techniques, providing personalized recommendations based on CPU, RAM, and GPU usage for scenarios such as gaming, programming, and deep learning. | Python, Machine Learning, AI |
 House Price Predictor |
Python application that predicts house prices based on their size in square meters using a linear regression model. Includes a GUI for user interaction, logging, database management, and concurrency features. | Python, Tkinter, SQLite, Machine Learning |
- LinkedIn: Michele Grimaldi
- Email: mikgrimaldi7@gmail.com
Check out my personal website for more details about my work and projects. (work in progress)