Lorenzo Balzani

AI Engineer @ Prometeia
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I am an AI Engineer with a strong foundation in Computer Science and Engineering. Currently, I am a dedicated 2-year MSc student in Artificial Intelligence at the University of Bologna, striving to delve deeper into the realm of AI and NLP. Alongside my academic pursuits, I’ve actively engaged in practical NLP research. I’m passionate about leveraging the power of AI and NLP to drive innovation and solve complex challenges.

Work Experience

AI Engineer

Bologna, Italy
Prometeia
Oct. 2023 - Present

Leveraging the power of natural language to drive innovation and enhance user experiences.

Co-Founder

Milan, Italy
Tripflow
Apr. 2023 - Oct. 2023

Architected and engineered robust AWS infrastructure using technologies like Amplify, EKS, Beanstalk, Serverless Lambda, S3, DynamoDB, and CodePipeline. I also led React frontend development with Typescript and Vite.

Machine Learning Scientist - Internship

Berlin, Germany
Bonial Germany
Summer 2022

Researched new methods to extract a subset of tags (35K+) from brochure images (12M+) by applying cutting‐edge CV and NLP techniques, leveraging the AWS ecosystem, HuggingFace, and PyTorch Lightning.

Undergraduate NLP researcher

Bologna, Italy
Dep. of CS, University of Bologna
Oct. 2021 - Oct. 2022

Advanced the state-of-the-art of biomedical Event Extraction (Natural Language Understanding) and Graph Verbalization (Natural Language Generation) tasks by researching novel Text2Text approaches. As a result, I co-first authored “Text-to-Text Extraction and Verbalization of Biomedical Event Graphs” at COLING 2022.

Software Engineer - Internship

Faenza, Italy
MagNews, Diennea
Feb. 2021 - Apr. 2021

Coded and bug‐fixed an open‐source distributed NoSQL database (HerdDB) using Java in an Agile environment.

Education

MSc in Artificial Intelligence

Bologna, Italy
University of Bologna
Present

Currently focused on:

  • Natural Language Processing and Text Mining.
  • ML and Deep Learning.
  • Image processing and Computer Vision.
  • Complexity Theory, Computability, and Undecidability.
  • Search strategies and automated planning.
  • Probabilistic graphical modelling with Bayesian networks.
  • Logics, PROLOG and KGs.

BSc in Computer Science and Engineering

Bologna, Italy
University of Bologna
Sep. 2018 - Oct. 2021

  • Main topics: Software Engineering, Computer Architecture, Data-Intensive Applications, Web Applications, Databases, and Math.
  • Technologies: Python, Java, C, Git, SQL, HTML, Javascript, React, HuggingFace, LaTex.
  • The dissertation focused on NLP. I worked on verbalizing of biomedical events that were extracted from scientific papers.