About

About

Felipe Cardoso, from fixing computers as a teenager to machine-learning research at SUPSI, two startups and Sartiq.

Felipe Cardoso

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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 2015 – 2016 Technician Antiproblems

    Computer repair and on-site IT support.

Publications

Google Scholar
peer-reviewed papers
11
citations
290+
h-index
7
  1. 2025 Predicting online search success from self-reported skills, search behavior, domain knowledge, and task evaluations M. Hermida, L. Botturi, L. Addiamando, M. Galloni, C. Beretta, F. Cardoso and 4 others MedienPädagogik
  2. 2024 Tracking fringe and coordinated activity on Twitter leading up to the US Capitol attack P. S. Vishnuprasad, G. Nogara, F. Cardoso, S. Cresci, S. Giordano, L. Luceri AAAI ICWSM
  3. 2024 The iBuddy experience: a digital simulation-based approach to enhance secondary school students' privacy awareness L. Botturi, T. Fioroni, C. Beretta, D. Andreoletti, A. Ferrari, F. Cardoso and 3 others Educational Technology Research and Development 72(2)
  4. 2022 The Disinformation Dozen: an exploratory analysis of Covid-19 disinformation proliferation on Twitter G. Nogara, P. S. Vishnuprasad, F. Cardoso, O. Ayoub, S. Giordano, L. Luceri ACM Web Science Conference
  5. 2022 Playing for privacy awareness: learning from a “wow-moment” with iBuddy F. Cardoso, D. Andreoletti, A. Ferrari, L. Botturi and 5 others European Conference on Games Based Learning
  6. 2021 Smart quality control powered by machine learning algorithms N. Bonomi, F. Cardoso and 7 others IEEE CASE
  7. 2021 A system for real-time emotion recognition in smart cities D. Andreoletti, F. Cardoso, A. Arzillo, L. Luceri, A. Peternier, S. Giordano FTAL (CEUR-WS)
  8. 2021 Down the bot hole: actionable insights from a one-year analysis of bot activity on Twitter L. Luceri, F. Cardoso, S. Giordano First Monday 26(3)
  9. 2020 UPRISE-IoT: user-centric privacy & security in the IoT S. Giordano, V. Morel, M. Önen, M. Musolesi, D. Andreoletti, F. Cardoso and 6 others Security and Privacy in the Internet of Things, IOS Press (book chapter)
  10. 2020 Digital weapons in social media manipulation campaigns F. Cardoso, L. Luceri, S. Giordano ICWSM Workshops
  11. 2018 VIVO: a secure, privacy-preserving, and real-time crowd-sensing framework for the Internet of Things L. Luceri, F. Cardoso, M. Papandrea, S. Giordano and 10 others Pervasive and Mobile Computing 49

Languages

  • Italian native
  • Portuguese native
  • English full professional
  • French limited working
  • German elementary

Contact

Get in touch

Email is the best way to reach me. I read everything, and I am always glad to talk about AI agents, evaluation, local inference and how engineering teams work with coding agents.