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AI Tinkerers - London
Team

Fabric: Portable Personal Context from Google, Instagram, YouTube

This team is at maximum capacity.

Project Concept

Building new consumer AI experiences by creating and retrieving memories from user interactions on Google, Instagram, YouTube, TikTok, LinkedIn, and Booking.

Entry

Status: Submitted

Last saved: December 07 at 5:53 PM GMT

Team Roster (team is at max capacity)

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Eeshita Pande Team Lead RSVP Approved

Founder at Fabric
na
Co-founder and CEO of onFabric, building context portability infra. Raised $3m from top European and Silicon Valley VCs. Previously led Product Monetization at Cleo AI. Built consumer AI app Thea AI.
Context Engineering AI Memory AI Engineering Knowledge Graphs

Massimo Albarello RSVP Approved

CTO at OnFabric
na
born in Italy, lived in the US, Switzerland and now the UK. studied distributed systems at ETH Zurich and now building the personalization layer of the Internet. love books and ambitious people
ai
onfabric.io

Luca Bertelli RSVP Approved

Founding Engineer at Fabric
na
Software Engineer that loves to get his hands dirty on projects. Deployed first webapp at 14 (note sharing webapp for high-school classmates). Open source code contributor.
Data portability protocols
Fabric: bring your personal context to any AI

Alex Kulikov RSVP Approved

Head of Engineering at Sysblok
na
Ex-Meta turned Founding Engineer in a startup. Currently Head of Engineering at a non-profit media, exploring new opportunities (contract or full-time). Areas of technical interest: data portability, reliability, observability, open source, self-hosting. Tenor in a choir.
data portability (including for AI), backend and data-pipeline systems, platform reliability, distributed systems, monitoring & logging (ELK), instrumentation, CI/CD, GraphQL, Hack/PHP, Python, Java, C++, MySQL, MongoDB, mentoring
Apart from work-related projects, I am the head of engineering at pro bono media project sysblok.ru (in russian, 170k+ subscribers, 200+ contributors), leading a team of 5 engineers and maintaining various parts of internal infrastructure, from networking and reliability to agentic n8n workflows.

Tom Walczak RSVP Denied

AI Engineer at TW Consulting
na
AI Machine Learning | Working on factual AI projects & start-ups
I am interested in knowledge intensive, factual AI systems
AI climate and