Lluc Bertran Canicio
Software Engineer · Tesla
Backend systems, distributed architecture and data infrastructure.
- Role
- Associate Software Development Engineer
- Company
Tesla- Education
- Computer Engineering, Autonomous University of Barcelona
- Focus
- Backend · Distributed systems · Data infrastructure
About
Software engineer at Tesla, building backend systems for global supply chain and logistics operations.
I am drawn to the hard parts of software: systems that must stay correct when they are distributed, under load or partially failing. I studied Computer Engineering at the Autonomous University of Barcelona.
Most of my time goes into my work at Tesla, in IT Applications for global Supply Chain and Logistics: large backend systems that process high volumes of data and are mission-critical to the company, in service of its goal of a world of amazing abundance. Building them has also meant learning the business itself: how a global supply chain runs, and what the people operating it need from software.
It is where I learn the most, by far. The problems are larger and harder than anything I could set myself, with real scale, real consequences and constraints no course project has. That work is covered by a non-disclosure agreement, so none of it appears here, but much of what is on theSkills page comes from it.
The projects on this site are the other part: university work, personal builds and things I make to learn, each documented in depth.
Projects
University, personal and learning projects. My work at Tesla is under NDA and not shown here.
| No. | Project | Field | Year | Status | Open |
|---|---|---|---|---|---|
| 01 |  Vehicle Depreciation PredictorMy bachelor's thesis. A web platform that projects how a vehicle's value will evolve over six years, using a gradient-boosted model trained on 178,000 listings and explaining every prediction with SHAP values.Completed | Machine Learning | 2025 | Completed | |
| 02 |  Real-Time Rock Paper Scissors RecognitionA two-player rock paper scissors game played through a webcam. Each hand is segmented and classified in real time, comparing a classical, explainable vision pipeline with an SVM and a CNN, and bridging the gap from a clean dataset to real scenes.Completed | Computer Vision | 2026 | Completed | |
| 03 |  CandyBotA voice-controlled candy dispenser on a Raspberry Pi. You ask for sweets out loud, a cloud pipeline turns speech into a structured command, and the robot serves the colours and amounts requested. It also sorts its own stock with a camera.Completed | AI and Robotics | 2026 | Completed | |
| 04 |  Pirineu a PeuThe website and management platform for a mountain-guiding business in the Catalan Pyrenees. A trilingual public site, a private dashboard with AI-assisted translation and image processing, and SEO work that substantially increased search visibility.Completed | Software Engineering | 2025 | Completed |
Background
| Period | Position | Organization |
|---|---|---|
| Apr 2026 – Present | Associate Software Development Engineer | Tesla, Barcelona |
| Sep 2022 – Jun 2026 | Bachelor’s Degree in Computer EngineeringSoftware Engineering specialisation | Autonomous University of Barcelona |
| Oct 2025 – Mar 2026 | Software Developer, IT Application Internship | Tesla, Barcelona |
| Jul 2025 | Cambridge English Advanced (CAE), C1 | Cambridge University Press & Assessment |
Recognition
Apr 2023
Catalan Society of Physics Award
Catalonia-wide award for the research project “Sound and Geometry: Study of Chladni Figures.”