About

Lead AI Engineer in London building reliable AI systems, data products, and practical tools.

Lead AI Engineer - London

I build AI and data products that have to work in the real world.

I am Federico Viscioletti, a statistician turned AI engineer. My work sits between modelling, product thinking, and the practical craft of turning ambiguous business questions into systems people can trust.

Federico Viscioletti

Reliable AI

Evaluating AI agents, measuring quality, and designing feedback loops so production systems stay observable and useful.

BYOB: Bring Your Own Benchmark

Applied data science

Predictive modelling, uplift, segmentation, forecasting, and experiments shaped around decisions rather than dashboards.

Data Science Insights

Small useful tools

Browser-first apps, writing helpers, and prototypes that make one specific workflow lighter, clearer, or more fun.

Ink writing app

Career Timeline

  1. Lead AI Engineer - Orgvue

    I evaluate the reliability and accuracy of AI agents, with a focus on production readiness, monitoring, and trustworthy deployment.

  2. Senior Data Scientist & Team Lead - Lloyd's List Intelligence

    I created and led the Data Science team, internalised a third-party model, managed two data scientists, and improved model performance with machine learning, Python and SQL automation, and custom data pipelines.

  3. Senior Data Scientist - Sky UK

    I helped develop downgrade models, built uplift modelling for discount strategies and net revenue impact, contributed to mobile strategy, and managed individuals and small teams.

  4. Data Scientist - Vodafone UK

    I implemented Vodafone UK's first AWS-based data product, developed device launch and tariff recommendation models, built churn and upgrade propensity models, and mentored junior colleagues.

  5. Data Analyst - Kindred Group

    I worked in Customer Experience Analytics, building a Shiny app to measure campaign ROI from reactivation and spend lift, and reporting on early customer lifecycle behaviour.

  6. SAS Consultant - Sopra Steria

    I supported Root Cause Analysis for a banking data management project using SAS, Teradata, AngularJS, and D3, and built Bookshelf, a text-mining web app over Project Gutenberg books.

  7. Solutions Developer - iBe

    I delivered BI dashboards, SAS forecasting and financial management integrations, receipt fraud detection with image recognition and OCR, and social media data retrieval systems.

  8. Solution Specialist - SAS Institute

    I worked as a client-facing SAS consultant, analysing data and dashboards for major Italian clients and supporting sales contracts and prospects with technical insight.

  9. MSc Statistics and Decision-making - Sapienza University of Rome

    I focused on stochastic processes, machine learning, predictive modelling, data mining, decision theory, survival analysis, multivariate statistics, generalized linear models, and sampling theory.

  10. BSc Statistics and Information Technology - Sapienza University of Rome

    I studied statistical analysis and inference, financial statistics, linear algebra, sampling, forecasting models, SQL, database design, Java, and programming.

Working Toolbox

  • Python
  • R
  • SQL
  • Machine learning
  • AI evaluation
  • Forecasting
  • Uplift modelling
  • A/B testing
  • Data products
  • Stakeholder storytelling