Giuliano Pioldi's Portfolio

About me

Engineer with a focus on applied algorithms and systems

I’m a recent engineering graduate about to begin my Master of Engineering at Cornell University. My work spans software, automation, and quantitative modeling, aimed at building reliable, data-driven systems.

My interests include applied machine learning, control and optimization, and high-performance computing.

I value clear thinking, clean code, and solutions that work in practice.

I approach every project with a commitment to doing my best and a mindset oriented toward excellence.

This site includes selected academic projects, research contributions, and work experience. Feel free to explore.

Education

Cornell University

Master of Engineering in Electrical and Computer Engineering

08/2025 - 05/2026

Currently enrolled in the Master of Engineering in Electrical and Computer Engineering at Cornell University, specializing in applied machine learning, algorithm design, data-driven modeling, and hardware–software optimization. The program combines advanced coursework with hands-on projects developed in collaboration with industry partners at Cornell Tech in New York City.

University of Parma

Bachelor's degree in Computer, Electronic, and Communications Engineering

09/2021 - 10/2024

Completed a Bachelor’s degree in Computer, Electronic, and Communications Engineering at the University of Parma, with coursework in control theory, artificial intelligence, electronics, automation, and robotics. During this period, I also founded a small personal company focused on advanced automation and intelligent systems.

Additional Education

Selected courses from Harvard, MIT, and Stanford

2023 – Present

Completed and ongoing courses in computer science, artificial intelligence, data science, and computational methods:

HarvardX: CS50x, CS50AI, CS109xa, CS50 SQL, CS50 Cybersecurity, CS50P, CS50R, PH125.8x, PH526x, CS109x, QMB1
MITx: CSE.0002x
Stanford Online: CSX0001

Experience

GP4ISI

Founder and Algorithmic Software Engineer

01/2023 – Present

Founded an independent company focused on advanced automation and intelligent industrial systems. I lead software development, system integration, and real-time data visualization for complex manufacturing environments.

Candy Factory Group

Systems Automation Intern

06/2022 – 09/2022

Contributed to the development of machine vision systems and automation workflows, improving visual quality control and packaging accuracy through real-time image processing algorithms.

Alfasigma & Golinelli Foundation

Project Lead – Innovation Fellow

01/2022 – 06/2022

Selected among the top 30 engineering students in Italy for an innovation and entrepreneurship program. Led a team in the design and delivery of an award-winning biomedical image classification prototype using deep learning techniques.

Casa del Dolce Inc.

Software Engineering Intern

06/2021 – 09/2021

Developed custom software tools to support production planning and food traceability, helping digitize key ERP processes and streamline internal logistics operations.

Independent Researcher

Optimization Researcher – Quantitative Software Systems

08/2022 – 11/2024

Designed and developed software solutions for operational optimization in biotech and industrial domains, including scheduling algorithms and a financial modeling engine used by over 1,000 users for investment analysis.

University of Parma

Control Theory Researcher – Robotics Systems

09/2021 – 09/2024

Conducted experimental research on torque-based motion control for the UR10e robotic arm in a ROS2 environment. Supported over 200 students as a teaching assistant and robotics lab tutor throughout my undergraduate studies.

Skills

Python

C / C++

SQL

MATLAB

ROS / Robotics

Machine Learning

Control Theory

Embedded Systems

Mathematical Reasoning

Statistics & Probability

Linear Algebra

Geometry / Spatial Reasoning

Problem Solving

Entrepreneurship

Team Leadership

Communication & Public Speaking

Teaching & Mentoring

Projects & Publications

RIMLAB Research

Development of Control Software for Coordinating a Robotic Manipulator for Fruit Harvesting

Pioldi, Giuliano

This thesis presents the development of an integrated robotic system for automated tomato harvesting, based on a UR10e manipulator with a soft gripper and advanced sensors integrated via ROS2. A Faster R-CNN-based vision algorithm detects ripe fruits, while joint torque monitoring ensures delicate detachment. Two experimental scenarios were analyzed: with and without resistance during fruit picking. Results highlight the system’s adaptability and robustness under varying field conditions.

Full English version coming soon.

Read the publication →

Harvard CS50

Projects and Highlights

Pioldi, Giuliano

Projects and highlights from my time as a Harvard CS50 student, covering fundamentals to advanced topics.

View the repository →

Computer Vision

Real-Time Candy Color Detector

Pioldi, Giuliano

A lightweight OpenCV tool to detect and classify candy colors in real time using HSV thresholds, designed for use in real industrial production environments.

View the repository →

RIMLAB Project

UR10e-based Robotic Fruit Picker

Pioldi, Giuliano

A full ROS2 stack for a robotic system deployed in agriculture using UR10e, RealSense, and torque feedback. Performs perception, motion planning, and fruit picking in outdoor environments.

View the repository →

Robotics Analytics

Joint Torque Analysis Toolkit

Pioldi, Giuliano

Bash-only scripts that down-sample ROS 2 joint_states + wrench logs, shrinking millions of messages into tidy CSVs for fast correlation and torque analysis.

View the repository →

Industrial Robotics

SCARA QR Orientation

Pioldi, Giuliano

Real-time QR orientation detection for SCARA robot grippers using OpenCV, ready for future PROFINET integration.

View the repository →

GIULIANO PIOLDI

Engineer and Researcher in Quantitative Modeling and Robotics

About me

Engineer with a focus on applied algorithms and systems

Education

Experience

Skills

Projects & Publications

Contact