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I am a computer engineer, very curious about technologies and looking forward to build something that improves everyone's life.
My primary career interests lies in AI and human-computer interaction.
Right now I am working as a software engineer at Ericsson company.
If you're curious to know more, just contact me through LinkedIn or by e-mail!

Education

  • Università degli Studi di Genova (UniGe)
    M.Sc. in Computer Engineering | Sept. 2019 ― June 2022
    Thesis: "Artificial Intelligence Techniques Applied to Movement Analysis and Planning to Support Fitness Activities" (pdf ITA)
  • Università degli Studi di Genova (UniGe)
    B.Sc. in Computer Engineering | Sept. 2014 ― Mar. 2019

Technical skills

  • Programming
    Python, Java, C/C++, Java, Dart, MATLAB
  • Artificial intelligence
    ML algos, LLM, RAG, computer vision, PDDL, ASP
  • Web development
    HTML, CSS, JavaScript, D3.js, React, SQL, Streamlit
    Version control, deploys and analytics
  • Human-computer interaction
    Motion analysis, face recognition, AR/VR
  • Mobile development
    Flutter
  • Cloud computing
    Docker, Kubernetes, Prometheus, Grafana
  • UI/UX design
    Wireframing & prototyping, Photoshop
  • Photography
    Portraits, Lightroom
  • Videomaking
    Premiere Pro, After Effects

Work experience

  • Software engineer @ Ericsson
    Apr 2022 ― present
    - Developing cloud native applications
    - DevOps methodology along with Docker and Kubernetes
    - Internal hackathons bringing AI solutions
    - Side activities in exploring and prototyping AI applications
  • Software developer @ Drafintech
    May 2019 ― Aug 2019
    - Developing mobile apps using Flutter
    - Developing websites using Angular
  • Internship trainee @ Progetto Adele
    Mar 2018 ― Jul 2018
    - Knowledge and logistic documents handling using SQL Server, Excel and Access
    - Developing websites using ASP.NET

Projects

t-pose detector

Super Saiyan Yourself

As a kid, have you ever wanted to turn into a Super Saiyan? I bet we all did!
Here's a ML demo based on Teachable Machine's pose estimation that you can play with.

t-pose detector

Fitness App Idea

Small demo about a fitness exercise counter developed with Mediapipe. Hoping to expand it further more.

edurell project screenshot

EDURELL

University project focused on extracting knowledge from educational video.
Developed in Python, OpenCV, scikit-learn, YoloV5, Mediapipe and DeepFace.

data visualization project

Data visualization of an experiment

Preprocess a given dataset and effectively visualize it using D3, a Javascript library for visualizing data with HTML, SVG and CSS.

Misc

  • Interested in ethical hacking, occasionally ctf player
  • Interested in electric mobility
  • Amateur photographer Gabbokeh
  • Amateur calisthenics athlete
  • I ♡ memes and shiba doggos
  • Youtuber once a year