Pietro Carrucciu

CompSci & Engineering MSc @ Politecnico di Milano

Currently:




Degree

Currently trying to build a hybrid profile between a computer engineer and an AI research scientist.

Opportunities

Always seeking opportunities to contribute to innovative projects in AI and sustainable technology.

Research Ambitions

Statistical Learning, Machine Learning, Energy-Efficient AI, Neuromorphic Computing, Sustainable Technology.

Beyond academics

Neuroscience, reading, music-making and climate change. I’ve taken part to a philosophy study group for the last 3 years.

Education:




2016 - 2021 ITIS E. Fermi, Modena

Electronics and Automation Track

2021 - 2024 University of Modena and Reggio Emilia, Modena

BSc in Computer Engineering

2024 - now Politecnico di Milano, Milano

MSc in Computer Science and Engineering (AI-oriented)

Experience:




03/2023 - 01/2024 Software Engineer, MoRe Modena Racing (Combustion, Hybrid)

Developed real-time Telemetry System for Formula Student race car
Division Leader ad interim, planning the development for the conversion to hybrid

07/2019 - 09/2019 Intern, L.A.G. SPA

Assisted Automation/Mechatronics engineers
Built documentation for industrial sandblasting pipeline upgrades

Projects:




07/2024 - 09/2024 Bachelor Thesis: Energy Metrics for CMOS implementations of Spiking Neural Networks, UniMoRe

Tutor: Professor Luca Selmi
Researched state-of-the-art neuromorphic devices and SNNs
Analyzed energy efficiency of analog vs digital neuromorphic computing implementations
Developed a comparison metric for 28nm CMOS-based artificial neurons and compared to standard benchmarks

01/2024 - 03/2024 Smart Nursing Home, UniMoRe

Developed IoT system with digital twins and live patient monitoring

06/2023 - 07/2023 LC-Efesto, UniMoRe

Developed tool for STEM mathematics and conversion problems

03/2023 - 07/2023 FS-Onboard, MoRe Modena Racing

Designed car’s dynamic digital twin and CAN message converter library
Developed functionality in Java

Certifications:




2024 Attention Mechanism Overview, Google
Encoder-Decoder Architecture Overview, Google
Introduction to Large Language Models, Google
Academic Writing Made Easy, edX

2022 Cambridge C2 Proficiency (Score: 220), Cambridge
Climate Change: The Science and Global Impact, SDG Academy

Applied Skills:




Technical

Programming: Python, Java, C, SQL, Shell
Tools: JavaFX, Material UI, LaTeX, JDBC, IP suite
Concepts: Data Structures, Software Project Management

Engineering

Thinking across different abstraction layers
Applying patterns learned across different disciplines to real-world problems
Understanding and quantifying tradeoffs for decision making
Working in a team (and organization)
Project planning and requirement analysis

Languages

Italian (Native)
English (C2 Proficient)