Master's Degree: Artificial Intelligence and Machine Learning

2020 - 2022

University of Calabria, Arcavacata, IT

Thesis: "Deep Anomaly Detection in ECG Signals to Detect Arrhythmias".

Degree Score: 110/110 cum Laude and academic mention.

Bachelor's Degree: Computer Engineering

2016 - 2020

University of Calabria, Arcavacata, IT

Thesis: "Object Oriented Data Language: a language for devoloping dynamic data collection web app".

Degree Score: 110/110 cum Laude.

High School: Techinical Institute for Computer Science

2011 - 2016

IIS Vibo, Vibo Valentia, IT

Score: 100/100.

Machine Learning Engineer

2023 - Present

Knowlix GmbH, Tutzing, Bavaria, DE

• Improved documents key information extraction accuracy to 99% by fine-tuning a Vision-Language Model (VLM) to eliminate OCR dependency and enhance document understanding.
• Optimized cost, performance, and security of document intelligence workflows by developing a serverless API with AWS, integrating a model zoo of LLMs on SageMaker, and implementing asynchronous job execution with callback and polling.
• Achieved 4x speed-up and 98% accuracy in on-device key information extraction by fine-tuning a Small Language Model (SLM) and optimizing it for Apple mobile deployment using CoreML.
• Increased document summarization relevance and accuracy by 25% by fine-tuning a Large Language Model (LLM) with Direct Preference Optimization (DPO) to align summaries with user preferences and domain-specific requirements.
• Enhanced multilingual classification accuracy by 10% by conducting transformer encoder pre-training for improved downstream performance.
• Enabled precise document interaction via natural language queries by building a Retrieval-Augmented Generation (RAG) system and integrating a vector search engine for efficient retrieval.