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fvalerii/README.md

Hi there, I'm Fabrizio Valerii ๐Ÿ‘‹

๐Ÿค– AI Engineer

I am a highly analytical AI Engineer specializing in Generative AI, LLMs, and Deep Learning. My background combines over 1.5 years of intensive, hands-on training in AI with previous multiyear experience in Strategic Consulting, Banking, and Asset Management. I'm driven by a passion for solving complex problems and participating in the wave that will define the next generation of technology.

My current focus is on designing, developing, and deploying scalable AI solutions. I have expert proficiency in Python and leading deep learning frameworks like LangChain, PyTorch, and TensorFlow, and I'm committed to building production-ready systems grounded in performance and data best practices.

๐Ÿ“ซ How to Reach Me

๐Ÿ—ฃ๏ธ Languages

I am a polyglot with fluency or proficiency in 6 languages.

(English, Italian, Spanish, Portuguese, French, German)


๐Ÿ› ๏ธ My Tech Stack

  • Programming: Python (Expert), SQL, Cypher (Neo4j)
  • Generative AI: LangChain (Agentic Development, RAG), Large Language Models (LLMs), Text Generation, IBM Watsonx, Vector Databases
  • MLOps & Cloud: MLOps, Google Cloud Platform (GCP)
  • ML Frameworks: PyTorch/TorchVision, TensorFlow 2.x, Keras, scikit-learn
  • Data Science: pandas, NumPy, Matplotlib
  • Computer Vision: CNNs (ResNet), Vision Transformers (ViT), Variational Autoencoders (VAE), Transfer Learning, Image Processing
  • Data & AI Prep: Knowledge Graphs (Neo4J), Feature Engineering, Geospatial Data Handling, Production-Level Data Wrangling

๐Ÿš€ Featured Projects

1. QA Bot for Document Analysis (RAG)

  • Project: Capstone for the IBM GenAI Engineering Certificate.
  • Description: Engineered a comprehensive QA system using LangChain to automate information retrieval (RAG) from extensive document libraries (PDFs).

2. Advanced Computer Vision: Hybrid CNN & ViT for Geospatial Classification

  • Project: Capstone for IBM AI Engineering with Python, PyTorch & TensorFlow
  • Description: Engineered an advanced land classification system using satellite imagery, implementing and rigorously comparing both Keras/PyTorch CNNs and modern Vision Transformers (ViT).

3. Full-Stack Customer Feedback Analysis System

  • Project: Capstone for the IBM AI Engineering Certificate.
  • Description: Developed a full-stack application demonstrating a complete workflow from AI model integration (using IBM Watson's NLP libraries for emotion detection) to web deployment.

4. VAE for Synthetic Image Generation

  • Project: Part of the Imperial College TensorFlow Specialization.
  • Description: Built a generative system using Variational Autoencoders (VAEs) and Normalizing Flows to learn an efficient latent space for synthetic image generation and density estimation.

๐ŸŽ“ Education & Professional Background

Recent AI & ML Certifications

My recent focus has been a rigorous, 1.5-year full-time immersion into applied Deep Learning, Generative AI, and production-level system design.

  • IBM GenAI Engineering with Python, LangChain & Watsonx Professional Certificate (Coursera, IBM)
  • Preparing for Google Cloud Certification: Machine Learning Engineer (Coursera - In Progress, 4/6 courses completed)
  • IBM Deep Learning with PyTorch, Keras and Tensorflow Professional Certificate (Coursera, IBM)
  • Machine Learning with Python - From Linear Models to Deep Learning (6.86x) (edX, MITX)
  • Probability - The Science of Uncertainty and Data (6.431x) (edX, MITX)
  • TensorFlow 2 for Deep Learning Specialization (Coursera, Imperial College)
  • Google Advanced Data Analytics Professional Certificate (Coursera, Google)
  • Google Data Analytics Professional Certificate (Coursera, Google)
  • Statistical Learning (EdX, Stanford Online)

Prior Professional Experience

Before transitioning full-time into AI, I built a career in finance and strategic management.

  • Chairman and Owner, Strategic Project Overseas Inc.: Oversaw private equity investments in young technology companies, focusing on strategic valuation and operational due diligence.
  • Equity Trader (Independent): Developed and executed proprietary investment strategies based on technical and fundamental analysis of financial markets.
  • Organization Manager, Pioneer Global Asset Management: Coordinated large-scale business rationalization, process optimization, and project management (PRINCE2) for Asset Management division of the UniCredit Group.
  • Telephone Banking Head, Citibank: Implemented the Telephone Banking unit of Citibank in Italy from the ground up and subsequently managing its operations.

Pinned Loading

  1. waze-churn-prediction waze-churn-prediction Public

    Waze User Churn Analysis: Binary classification using Random Forest & XGBoost. Implements advanced feature importance auditing, hyperparameter tuning, and decision threshold optimization for high-cโ€ฆ

    Jupyter Notebook

  2. nmt-seq2seq-translation nmt-seq2seq-translation Public

    ๐Ÿš€ High-performance NMT study scaling Seq2Seq LSTMs to 200k+ sentence pairs. Features a streaming tf.data pipeline, Transfer Learning (NNLM), and masked loss. Reaches 17.32 BLEU on English-to-Germanโ€ฆ

    Jupyter Notebook