AI Projects Showcase

In 2023 I discovered a passion for machine learning and NLP-based assistants that completely changed my professional trajectory. This newfound interest led me to dive deep into machine learning studies and ultimately to found Eureko, a startup focused on AI solutions.
My journey in AI has been both challenging and incredibly rewarding, allowing me to blend my diverse background in multimedia with cutting-edge technology. I’m always eager to collaborate on innovative AI projects and open to new professional opportunities in this exciting field. Below, I’d like to share some of the projects I’ve been working on that showcase my skills and the potential of AI in various applications.

KEY SKILLS & TECHNIQUES

  • Prompt Engineering and optimization for advanced language models
  • AI solution development with Python and frameworks like TensorFlow and PyTorch
  • Implementation of NLP models for text processing and analysis
  • Integration of AI APIs (OpenAI, Claude, Gemini) in cloud-based applications
  • Strong problem-solving and analytical thinking skills
  • Languages: Python (NumPy, Pandas, Scikit-learn)
  • Machine Learning & AI: Prompt Engineering, NLP, Computer Vision
  • Frameworks & Libraries: TensorFlow, PyTorch, NLTK, spaCy
  • Cloud & DevOps: Google Cloud Platform, Git
  • Language Models: OpenAI GPT, Claude, Gemini
  • Data Visualization: Matplotlib, Seaborn

CERTIFICATIONS AND EDUCATION (complete list)

  • Machine Learning Specialization (2024, Stanford/DeepLearning)
  • Generative AI for Educators & Teachers Specialization (2024, Vanderbilt University/Coursera)
  • ChatGPT Prompt Engineering for Developers (2024, Deeplearning/Coursera)
  • Introduction to Generative AI Learning Path Specialization (2024, Google/Coursera)
  • Google AI Essentials (2024, Rome, Google/Coursera)
  • AI For Everyone (2024, Rome, Coursera/DeepLearning)
  • Programming, Cloud, Operating Systems, and IT
  • Crash Course on Python (2024, Google/Coursera)
  • Google Cloud Platform Essential Training (LinkedIn)
  • LPIC-1 Exam 101 (version 5.0) (2020, LinkedIn)
  • Apple Certified Support Essential 10.11 (ACSP) (2016, Rome)

Demonstrative Projects (in progress)

The following projects (LabelTools, VeriText, ImageInsight) are my AI Projects Showcase, some  experiments that demonstrate my skills in key areas such as Data gathering, AI integration via API (OpenAI), Software development with Python (code and no-code dev), Modular and scalable cloud architecture, Automation and optimization of complex workflows, Design and implementation of simple graphical interfaces, with plans for future improvement.

 

LabelTools: Cloud AI Automation —

A modular and integrated cloud software to meet the needs of music producers and publishers, automating and optimizing key processes in the music industry.

This all-in-one solution offers several modules that automate and optimize key processes in the music industry: data gathering, audio metadata extraction with generation of complete CSVs and unique ISRC identifier, creation of release assets (press kit, technical sheet, etc.), social media post planning, graphical reports for analyzing the appreciation of each track, automatic organization of release folders, interview generation, contract management based on metadata, profiling for advertising campaigns, tracking of song performances, and royalty calculation. The software is designed to be expandable with additional modules based on user needs.

VeriText: NLP Document Processing —-

Creation of an NLP-based document processing system with implementation of summarization and named entity recognition models.

The “VeriText” project involves the development of advanced software in Python, integrated with OpenAI APIs, for automating document retrieval and text processing. VeriText will allow the generation of summaries and key points, as well as inserting citation coordinates directly into documents, facilitating information control and verification. The software will be distributed on Google Cloud Platform (GCP) to ensure scalability, security, and accessibility to end users. The goal is to make VeriText a marketable SaaS solution for professionals and companies that need reliable tools for managing and verifying textual content.

ImageInsight: AI Image Classification —–

Development of an image classification system using convolutional neural networks. Implementation of transfer learning on pre-trained models to improve accuracy.

The project involves the development of Python software that uses the artificial vision capabilities offered by OpenAI APIs for batch image classification and management. The software will analyze images to automatically generate descriptive captions, flag potential issues (such as blurriness, low resolution, or incorrect orientation), and organize problematic images into dedicated subfolders. Additionally, it will generate a detailed report of the operations performed, providing users with a comprehensive overview of the interventions made.