Hi I’m Luca, and I’m currently in my fourth year studying Computing at Imperial College London.

Education

Imperial College London (ICL) MEng Computing (4th Year) 2020-2024

Modules: Distributed Algorithms, Scalable Systems and Data, Advanced Concurrency, Reinforcement Learning, Deep Learning, Deep Graph-Based Learning, Computer Vision, Network & Web Security

Master’s Dissertation

SyncWave: Rapid and Adaptive Decentralized Time Synchronization for Swarm Robotic Systems (Supervisors: Dr. Michael Breza, Prof. Julie McCann) [⤤]

International School of Geneva, Campus des Nations 2020

  • IB Bilingual Diploma, English/French: 44/45
  • HL: Math 7, Physics 7, Geography 7 | SL: Chemistry 7, English A 7, French A 6

Selected Experience

Software Engineering Intern, Dojo – March-September 2023

  • Worked with Consumer Products team to scale a Restaurant Management System and consumer app with 100k+ weekly users.
  • Worked with GCP (compute, storage, PubSub, Kubernetes), with Golang backend & GraphQL API
  • Contributed to redesign of consumer app using React Native & Typescript

Software Lead, ICL Karman Space Programme (KSP) – 2021-2023

  • Head of 5-person software team; primary systems architect for Mission Control and public-facing launch website; livestream networking.
  • KSP aims to launch the first student-researched and designed reusable rocket to the Kármán line, the edge of outer space at 100 km.

Imperial College ICHack Finalist: Real Impact Hack – 2022

  • Built a web app using Palantir Foundry to conduct a locational risk assessment of housing zones in California, based on ingest from earthquake, flood, and wildfire risk datasets, and proposed FEMA mitigation and adaptation strategies according to these risk factors.

MIT Beaverworks: Unmanned Autonomous Vehicle Synthetic Aperture Radar – Summer 2019

  • Working in a group of 4, placed first in a competition at MIT Lincoln Laboratory to build a multicopter-mounted radar imaging system.

Projects

GNN framework to predict high-resolution brain connectivity graphs from low-resolution scans. [⤤]

Cryptic Crossword Solver (Supervisor: Prof. Anthony Field)

  • Built a cryptic crossword-solving app with OCR grid and clues from image upload, full-grid syntactic & semantic solving, and interactive UI built with React Native; focus on scalability. [⤤]

PintOS Operating System

  • Built a UNIX operating system in C, implementing scheduling (priority donation and multilevel feedback queue scheduling), user/kernel partitioning, system calls, and virtual memory.

WACC Compiler

  • Designed and built an optimizing compiler for the WACC programming language from scratch, written in Scala and designed to run on ARM.

Skills and Interests

  • Fluent in English, French, and A2 proficiency in Spanish
  • Preferred programming languages: Python, C, Java, Golang
  • Topics: Advanced concurrency, distributed systems, scalability, computer vision, machine learning, IoT microcontrollers (Arduino, Raspberry Pi, ESP32), software verification
  • Active member of the Imperial College Mountaineering and Caving Societies, and involved with the Alternative Music, Advanced Hackerspace and Robotics societies.