Ciao! I'm Daniel Pappalardo
Master student in Software Engineering at the Technical University of Vienna. Particularly interested and passionate about Computer Vision and Machine Learning applications for Robotics.
Graduated from the Bachelor in Economics and Computer Science at Bocconi. Have since worked as an intern in roles ranging from Business Analyst to Software Engineer at companies like PwC and Fraunhofer.
Highlights
Projects
EightyTwenty
Summer 2026
An AI powered productivity tool for scientific researchers. Beautifully looking summaries and AI-generated podcasts to understand papers better. Still under development, check it out soon!
Formula Student (Autonomous Driving)
TU Wien Racing
2025/2026 Season
Driverless software engineer and business plan member in the 2025/2026 season of the EDGE17. Participated in Formula Students Germany 2026.
RoboRacer Competition at ICRA 2026
RoboRacer
June 2026
Autonomous race car at one-tenth scale sponsored by TU Vienna. ROS2 f1-tenth stack, 2D lidar and a whole lot of coffee to get in 8th place at the Master Cup.
Cone Detection and Distance Estimation
College Project
Spring 2026
Used the FSOCO dataset to train Yolo26 models on cone recognition, aiming for a real time pipeline combined with DepthAnything2 model for depth estimation
RelationalSeeder
College Project
October 2025 - February 2026
A full stack project for Advanced Software Engineering class at TU Vienna: A web application that allows the intuitive creation of fake relational data to jumpstart projects and demos using a range of supported AI models.
Skipass Demand Prediction using KGs
College Project
Summer 2025
Full Stack web application powered by a knowledge graph backend in Neo4J using data from the open weather portals of the North Italian regions. The goal of the project was to apply Knowledge Graph Embeddings such as TransE and RotatE for graph completion and link prediction and prove its real life applicability, e.g. in the winter entertainment industry
Fantasy Soccer DApp
College Project
Spring 2025
Developed a decentralized application (DApp) for fantasy soccer for a Smart Contracts class. The project focused on security, role-based-authentication, token generation and draft mechanism design.
Atari Breakout with Reinforcement Learning
College Project
Spring 2025
Implemented an Atari Breakout game (both front and backend) with a human player and an AI agent mode. The latter was trained using reinforcement learning with monte carlo and exploring starts.
AI Hackathon Winner
Google Developer Students Club PoliMi
April 2024
Developed a PoC for a user friendly fantasy app to tackle financial illiteracy.