About
About
Felipe Cardoso, from fixing computers as a teenager to machine-learning research at SUPSI, two startups and Sartiq.
I started with computers the practical way. As a teenager I repaired them, built websites and gave private lessons; from 2012 I took on more serious freelance work, and in 2015 I signed my first company contract, as an IT technician.
I have built software professionally since 2016, when I joined SUPSI, the University of Applied Sciences and Arts of Southern Switzerland, first as an assistant during my Master’s and later as a researcher at its Information Systems and Networking Institute. I was the primary software engineer on several research projects: data pipelines and machine-learning models for studying social bots and disinformation on Twitter, an IoT crowd-sensing framework and a privacy-awareness app. That work produced the papers listed below, in venues such as ACM Web Science, AAAI ICWSM and Pervasive and Mobile Computing.
Then came startups. At E2BS I built an energy-monitoring system that linked wind-turbine operations with crypto mining. I co-founded Pepper, a platform that let gamers earn crypto by playing, and Rubicon Studio, where I architected web3 infrastructure and smart contracts for asset-tokenisation projects.
In July 2024 I co-founded Sartiq (formerly Shootify) in Lugano with Luca Ambrosini and Andrea Ravano, and I am its CTO. Sartiq turns still-life product photos into on-model e-commerce imagery for fashion brands including OVS and Guess, and raised a CHF 2.1M pre-seed round led by Founderful in 2025.
I built the platform from the first line of code. It started as research: I implemented virtual try-on papers, fine-tuned models, built complex image-generation workflows, and set up the backend, the frontend and a compute service that spread the work across several GPU machines. When the company moved from its own models to model APIs, the platform became a production system built on them. I hired the tech team I lead today, built the agentic generation pipeline that now runs the company’s main production automation, and brought AI agents into our daily engineering and operations. I am still hands-on in nearly every main part of the technology.
Outside the company I design and run an AI platform at home: my own firewall, a 10 GbE core network, NAS storage, observability and alerting, local language and vision models, and AI agents that help operate it. It is where I benchmark open models and build HAVEN, a private voice assistant for my home.
What ties it together is measurement. I like evaluation sets, paired comparisons, test suites that stay green, and claims that come with their evidence.
Education
- MSc Engineering, Information and Communication Technologies (Networked Internet of Things), SUPSI, 2016 – 2020
- BSc Computer Science (Computer Engineering), SUPSI, 2013 – 2016
Experience
- Jul 2024 – present Co-founder & CTO Sartiq (formerly Shootify)
Built the platform from scratch, from virtual try-on research and fine-tuned models to a production system on model APIs; hired and lead the tech team; built the agentic generation pipeline that runs the company's main production automation.
- Jan 2023 – Jun 2024 Co-founder & Senior Software Engineer Rubicon Studio
Architected web3 infrastructure and smart contracts for asset-tokenisation projects and led an agile development team.
- Jan 2021 – Dec 2022 Co-founder & Senior Software Engineer Pepper SA
Built a platform that let gamers earn crypto by playing, including distributed mining on players' machines tuned for resource use and performance.
- Jan – Dec 2020 Software Engineer & Data Scientist E2BS – Eco Energy Blockchain Solutions SA
Designed and built an energy-monitoring system linking wind-turbine operations with crypto mining.
- Sep 2016 – Apr 2022 Researcher; earlier assistant during Master studies SUPSI – University of Applied Sciences and Arts of Southern Switzerland
Primary software engineer on research projects: data pipelines and ML models for studies of social bots and disinformation, an IoT crowd-sensing framework and a privacy-awareness app.
- 2015 – 2016 Technician Antiproblems
Computer repair and on-site IT support.
Publications
Google Scholar- peer-reviewed papers
- 11
- citations
- 290+
- h-index
- 7
- 2025 Predicting online search success from self-reported skills, search behavior, domain knowledge, and task evaluations MedienPädagogik
- 2024 Tracking fringe and coordinated activity on Twitter leading up to the US Capitol attack AAAI ICWSM
- 2024 The iBuddy experience: a digital simulation-based approach to enhance secondary school students' privacy awareness Educational Technology Research and Development 72(2)
- 2022 The Disinformation Dozen: an exploratory analysis of Covid-19 disinformation proliferation on Twitter ACM Web Science Conference
- 2022 Playing for privacy awareness: learning from a “wow-moment” with iBuddy European Conference on Games Based Learning
- 2021 Smart quality control powered by machine learning algorithms IEEE CASE
- 2021 A system for real-time emotion recognition in smart cities FTAL (CEUR-WS)
- 2021 Down the bot hole: actionable insights from a one-year analysis of bot activity on Twitter First Monday 26(3)
- 2020 UPRISE-IoT: user-centric privacy & security in the IoT Security and Privacy in the Internet of Things, IOS Press (book chapter)
- 2020 Digital weapons in social media manipulation campaigns ICWSM Workshops
- 2018 VIVO: a secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things Pervasive and Mobile Computing 49
Languages
- Italian native
- Portuguese native
- English full professional
- French limited working
- German elementary