At the service of 1k+ students on their AI Mastery journey.

- Altar is an award-winning product studio, where ex-founders help current innovators define, build and ship great products- 90+ products launched to date- Bringing my experience in AI/ML and startups to the mix

- Joined ai.pt for the vision of building an AI-centric venture studio in Lisbon- Developed process to produce audiobooks with TTS from a book, passing the "humanity" test, and publishing a full AI-Gen audiobook on Audible- Automated personalised GPT-based email outreach, generating 92% open rates

- Envisioned Radiobooks as a mission to spread knowledge in audiobook format, leveraging cost efficiency that the latest AI text-to-speech would bring to audio production- Took part in Microsoft for Startups and Nvidia ignite programs- Failed to find product-market fitB2C (first 6 mo):coded MVP, launched a B2C audible-like app for Portugal with public domain books, applied gorilla marketing to acquire 2k users, failed to get copyrights from local publishers, low LTV.B2B (second 18 mo): with a better understanding of the market, pivoted towards being an audio production service provider for publishing companies. Sold paid POCs to publishers and book distribution companies with a catalog of ~700k books (Bookwire, LeYa, Porto Editora, Clube de Autores), with 90% margin. Failed to convert POCs into recurring sales. Couldn't get audio quality to human-like. HITL approach proved to be costly and high in ops for marginal gains in quality. Built a small team with limited resources and worked on fundraising. Wrong key assumption: we build our audio production tech on top of Azure TTS, which was at the time better than Google and Amazon. I assumed that the best quality TTS would come from one of these big players, and their technology was producing audio out of SSML files. So we worked on optimising for SSML generation and adding value with HITL, while other startups like ElevenLabs (who just raised $80M) managed to outperform the big players in audio quality with proprietary tech - kudos to them!

- Canonical is the publisher of Ubuntu, the most used Linux OS in the world.- I worked directly with the founder and CEO, leading product, go-to-market, and OSS strategies for MLOps and Kubeflow.

- Kubeflow is at the base of Google's Vertex AI.- I represented Canonical at the Kubeflow open-source community.- Became the #1 contributor outside of Google to documentation.- Lead a docs restructure + release of versions v1.2, v1.3

- after going through the program in Silicon Valley, was invited to co-lead the Lisbon cohort.- co-led sessions across several cohorts of entrepreneurs- shared frameworks on product, go-to-market, P-M fit, branding, team, and all things entrepreneurship- invited experienced mentors and led pitch sessions

- Leadzai raised 7M€+ to help small businesses tap into online ads without risk. - I mapped acquisition funnels, interviewed customers, proposed a product re-design and led it.

- TechOS was a centralized marketplace for dev freelancers, with standardized price and quality.- created sales pipeline across USA, UK and Switzerland.- validated market hypothesis by interviewing 200+ prospects, devs and CXOs.It was way too early. In 2018, AI technology was not ready to process the unstructured data required to put a price tag on a developer based on his existing code-base.

- AA's robots make low throughput lab experiments reproducible and fast for customers like MIT,Harvard, Stanford, P&G, GSK and Roche.- I algorithmically optimized dimensions, designed, prototyped and tested a new robot's components.- I identified critical design issue one month into the job, developing adopted solutions.