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Francisco A.FA

Francisco A.

AI Solutions Engineer | MVPs & Automation

€299/day
Barcelona, ES
15+ years

Average response time: 1 hour

About Francisco

I build AI tools, automations and MVPs that turn messy ideas into working products fast.

My background is a mix of engineering, machine learning and “there has to be a smarter way to do this”. I’ve worked on fraud detection, anomaly detection, predictive systems and AI applications, but these days I mostly enjoy building practical AI solutions that save people time, remove repetitive work and make businesses less dependent on spreadsheets held together by hope.

I like working with teams that move quickly, test ideas fast and care more about results than buzzwords. I’m comfortable going from idea to prototype to production, especially when the project involves AI agents, workflows, internal tools or connecting different systems together.

I also genuinely enjoy solving weird problems. If your business process looks like a Rube Goldberg machine powered by copy paste and human suffering, there’s a good chance I’ll have fun fixing it.

Strong technical background, business mindset, fast execution, and very little attachment to unnecessary complexity.
  • English

    Native or bilingual

  • Spanish

    Native or bilingual

Can work on-site
Barcelona (up to 50km)

Experience

  • Mantika
    Machine Learning Engineer
    BANKING AND INSURANCE
    March 2024 - Today (2 years and 4 months)
    Montreal, Canada
    • • Built a real-time fraud scoring system reducing false negatives by 22%.
    • • Improved model precision and recall through feature engineering and rule optimization.
    • • Designed dashboards to track fraud KPIs and support data-driven decisions.
  • Experian
    Machine Learning Engineer
    BANKING AND INSURANCE
    August 2023 - March 2024 (7 months)
    United States
    • • Developed and deployed risk and credit scoring models serving 1M+ loan applications monthly.
    • • Increased model stability and reduced inference time by 35%.
    • • Collaborated with global teams to enhance credit and fraud systems at scale.
  • Carefull
    Data Scientist
    BANKING AND INSURANCE
    December 2021 - August 2023 (1 year and 8 months)
    New York, NY, USA
    • • Implemented unsupervised ML for anomaly detection, cutting fraud losses by 18%.
    • • Built AWS Quicksight dashboards for real-time fraud monitoring and executive reporting.
    • • Delivered POCs that improved detection accuracy across 500K+ bank transactions.

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Education

  • Master's in Industrial Engineering
    University of Buenos Aires
    Master's in Industrial Engineering

Skill set

Categories