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  • Cosenza, IT
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bGuzzo/README.md

Hi, I'm Bruno Guzzo 👋

I am a Google Cloud Certified Professional Developer and Software Engineer at Go Reply, where I build scalable cloud-native solutions and implement MLOps pipelines.

I recently completed my MSc in AI & ML Engineering. My professional role has expanded to include deploying Generative AI models (Gemini) and building RAG (Retrieval-Augmented Generation) systems on Google Cloud (Vertex AI, Agent Builder).

🚀 Key AI & ML Projects

My academic and personal projects demonstrate my hands-on experience in Deep Learning, NLP, and Anomaly Detection:

  • Italian-LLaMA-Project: Fine-tuned the 8B LLaMAntino-3 model for Italian proficiency using 4-bit quantization and LoRA. This project also included the implementation of a complete RAG chatbot system using LangChain and FAISS.
  • MSc Thesis: Semi-Supervised Anomaly Detection: A rigorous experimental analysis of under-sampling techniques (like ENN, NCR, and Tomek Links) to improve the performance and efficiency of Auto-Encoders for semi-supervised anomaly detection.
  • Transformer-GNN for Link Prediction: Designed and built a custom, deep Graph Neural Network (GNN) inspired by the Transformer architecture. The model was trained from scratch on a custom-built 7-million-node dataset (crawled from Wikipedia) for semantic link prediction.
  • Anomaly-Transformer-Analysis: A deep-dive implementation and comparative analysis of the "Anomaly Transformer" paper, benchmarking its novel Anomaly-Attention mechanism against standard self-attention for time series anomaly detection.

🛠️ Core Competencies

Category Technologies
AI & ML PyTorch, LangChain, LLM Fine-Tuning (LoRA), RAG, NLP, Pandas, Vertex AI (Gemini)
Cloud & DevOps Google Cloud (GCP), Terraform, Docker, CI/CD (GitHub, GitLab), Cloud Run, BigQuery
Software Engineering Python (Flask), Java (Spring Boot), JavaScript (Angular), SQL & NoSQL

📫 Get In Touch

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  1. MSc-AI-ML-thesis-anomaly-detection MSc-AI-ML-thesis-anomaly-detection Public

    An experimental analysis of under-sampling in deep semi-supervised anomaly detection. This MSc thesis evaluates how different sampling strategies affect the performance and efficiency of the AE-SAD…

    TeX

  2. Anomaly-Transformer-Analysis Anomaly-Transformer-Analysis Public

    An in-depth analysis of the Anomaly Transformer, with experiments on hyperparameter tuning, optimizers, and a head-to-head comparison with a standard Transformer Encoder.

    Python

  3. transformer-gnn-link-prediction transformer-gnn-link-prediction Public

    A deep, transformer-inspired Graph Attention Network (GAT) for link prediction on semantic graphs. This project features a custom GNN architecture and a large-scale dataset built from Wikipedia.

    Python

  4. Italian-LLaMA-Project Italian-LLaMA-Project Public

    An MSc NLP project on fine-tuning LLaMAntino-3-8B for Italian. Explores efficient training on consumer hardware using PEFT/LoRA and includes extensive evaluation (Perplexity, INVALSI) and chatbot/R…

    TeX