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bGuzzo/README.md

Hi, I'm Bruno Guzzo πŸ‘‹

πŸ’Ό Professional Overview

I am a Systems Engineer at AWS (Dublin), working within the Managed Operations team since April 2026.

🎯 Interests & Focus

I am passionate about Linux, Cloud, SWE, DevOps, AI/ML (NLP, Anomaly Detection, Time Series), and Finance. I use this profile to share personal projects and ideas; feel free to reach out for collaboration.

πŸš€ Projects

πŸ› οΈ Personal Projects

  1. [In Progress] - Fin-FFB: A finance-specialized BERT-like embedding model designed to embed large documents on consumer-grade hardware. It leverages recent NLP advancements to implement a fat and shallow architecture, bypassing the context size limitations of common models like Mini-LM.
  2. [Coming Soon] - Fin-PT: A financial pre-trained transformer model designed to apply GPT architectures to predict the next OHLC data point for a given ticker history.

πŸŽ“ Academic Projects - UNICAL/DIMES AI/ML Engineering MSc

  1. Italian-LLaMA-Project: Fine-tuned the 8B LLaMAntino-3 model for Italian proficiency using 4-bit quantization and LoRA. Implemented a complete RAG chatbot system using LangChain and FAISS.
  2. MSc Thesis: Semi-Supervised Anomaly Detection: A rigorous experimental analysis of undersampling techniques (e.g., ENN, NCR, and Tomek Links) to improve the performance and efficiency of Auto-Encoders for semi-supervised anomaly detection.
  3. Transformer-GNN for Link Prediction: Designed and built a custom, deep Graph Neural Network (GNN) inspired by the Transformer architecture. Trained from scratch on a custom 7-million-node dataset (crawled from Wikipedia) for semantic link prediction.
  4. 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 AWS, CDK, Google Cloud (GCP), Terraform, Docker, CI/CD (GitHub, GitLab), Cloud Run, BigQuery
Software Engineering Python (Flask), Java (Spring Boot), JavaScript (Angular), SQL & NoSQL

πŸ“« 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