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Co-Founder & CTO @ Brickroad | Principal AI/ML Engineer | 3x Technical Founder | Data Augmentation, LLMs, Agents & Autonomous Systems
Principal AI/ML Engineer and founder with 10+ years building intelligent systems that power real-world products—leveraging LLMs, applied NLP/CV, multi-agent protocols, and trust-minimised infrastructure. Currently building Brickroad, a full-stack data brokerage that turns months-long data procurement into seconds. We're rolling out a public beta for permissionless data exchange, and deploying agents to discover, evaluate, and purchase datasets on behalf of users. Previously, I founded R2P.AI, an AI R&D studio delivering production ML across fintech, govtech, and enterprise CV. There, I designed and deployed a global, real-time natural catastrophe alert system for the UK Government. My last two startups explored: - Autonomous agents that reason, coordinate, and adapt - Liquidity and access across the long tail of assets I advise early-stage teams on AI strategy, infrastructure, and go-to-market—with a focus on agent-based systems and the emerging AI × crypto stack. I also publish Dataset News—a regular briefing on new datasets, benchmarks, and licensing/policy updates for teams that buy, evaluate, and ship with data.
Universidad de Sevilla
PhD Candidate, Computer Science
March 1, 2013 – October 1, 2015
University of Sussex
Masters Degree, Mathematics
January 1, 2000 – January 1, 2004
Brickroad
Co-Founder & CTO
July 1, 2025 – Present
Outcome Foundation
Founder & Principal Engineer
April 1, 2024 – July 1, 2025
Graph Paper Capital
Startup Mentor & Advisor
February 1, 2023 – Present
Geospatial Insight
AI Research Engineer
December 1, 2020 – January 1, 2022
IMPACT Accelerator
Startup Mentor
May 1, 2019 – April 1, 2020
R2P.AI
Founder & Chief Scientist
December 1, 2018 – July 1, 2024
Send
Head of AI
November 1, 2018 – August 1, 2021
Piksel
Principal AI Engineer
July 1, 2016 – December 1, 2018
Humm | Music for the Masses
Founding Data Scientist
August 1, 2015 – July 1, 2016
Málaga Area, Spain
Skimlinks
Data Scientist
July 1, 2014 – September 1, 2014
London, United Kingdom
Universidad de Sevilla
PhD Candidate (withdrew to found startup)
March 1, 2013 – October 1, 2015
Department of Applied Mathematics, Faculty of Computer Engineering
J.P. Morgan
Quantitative Analyst
June 1, 2011 – June 1, 2012
London, United Kingdom
Citi
Quantitative Analyst
July 1, 2008 – June 1, 2010
London Area, United Kingdom
Barclays Capital
Equity Finance Middle Office Lead
January 1, 2007 – October 1, 2007
London Area, United Kingdom
CIBC World Markets
Risk & P&L Analyst - OTC Derivatives
January 1, 2005 – January 1, 2007
London Area, United Kingdom
Cultural Fit Analysis
The candidate's background is heavily skewed towards AI/ML research, engineering, and leadership, with significant entrepreneurial ventures. While they have a strong quantitative background, their recent roles are far more aligned with AI/ML engineering and leadership than a pure Data Analyst role. The diversity of projects (fintech, govtech, enterprise CV, music tech, prediction markets) shows adaptability and a broad interest in applying AI, but the target role of 'Data Analyst' seems a significant step down in scope and responsibility from their recent experience. This could indicate a potential mismatch in expectations or a desire for a different career path, which needs to be explored. Their experience as a mentor also suggests a collaborative and knowledge-sharing approach.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (CTO, Chief Scientist, Head of AI) and as a mentor suggests strong leadership, strategic thinking, and communication skills. Their involvement in founding startups indicates a proactive, innovative, and problem-solving mindset. The descriptions of building complex systems and leading teams imply strong project management and collaboration abilities. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.