Federico Schermi

Federico Schermi

AI Engineer

About

Former Co-Founder and CTO of Itemty. Currently a Master’s student in Data Science at Politecnico di Milano and Universidad Politécnica de Madrid, pursuing a Double Degree from the European Institute of Innovation and Technology (EIT) with a minor in Entrepreneurship.

Work

SevenDays
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Software Engineer - Data Engineer

Milan, Lombardy, Ital

Full-Time

Itemty
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Co-Founder & CTO

Milan, Lombardy, Italy

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Highlights

Led the development of Itemty’s technological vision and strategy, defining the architecture and technology stack for the mobile platform.

Oversaw the end-to-end development lifecycle of the mobile platform, from initial concept through to launch, collaborating with cross-functional teams, including design, product management, and marketing.

Education

Universidad Politécnica de Madrid
Madrid, Community of Madrid, Spain

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Master of Science (EIT Double degree)

Computer Science and Engineering

Politecnico di Milano
Milan, Lombardy, Italy

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Master of Science (EIT Double degree)

Computer Science and Engineering

Politecnico di Milano
Milan, Lombardy, Italy

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Bachelor's degree

Computer Science and Engineering

Languages

English
Italian

Skills

Programming Languages

C, Java, Python, JavaScript, TypeScript.

Web & Mobile Development

React Native, Mobile Platform Architecture, UI/UX Principles.

Databases

MongoDB, PostgreSQL.

Project Management & Leadership

Technical Strategy, Product Development, Cross-functional Team Leadership.

AI & Machine Learning

Deep Learning, Neural Networks, Fine-tuning.

Cloud & Big Data

Big Data Analysis, Unstructured Data Management.

Software Engineering

Object-Oriented Programming (OOP), MVC Architecture, Algorithms, Data Structures, System Architecture, Software Development Lifecycle.

Projects

Time Series Prediction Model

Summary

Developed a time series prediction model using a transformer architecture. The challenge focused on effective generalization across six diverse domains.

CNNs for Plant Health Classification

Summary

Developed a deep learning model to classify images of plant leaves as "healthy" or "unhealthy" using convolutional neural networks (CNNs) and transfer learning.

MyShelfie Board Game Implementation

Summary

Implemented 'MyShelfie' board game using MVC architecture and OOP in Java. Features include CLI and GUI interaction, and network communication via sockets and RMI.

Federico Schermi