Building ML systems for blockchain security and compliance. From stablecoin monitoring to DeFi risk analytics — turning blockchain data into actionable intelligence.

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Experience

Range.org logo
Lead Data Scientist
Range.org
Apr 2025-Present
Blockchain ML & stablecoin compliance • $30B+ monitored assets • Cross-chain security
Imperial College London logo
Research Associate
Imperial College London
Mar 2025-Present
ML for biomarker discovery • Allergy & immunology trials
HelpFirst AI logo
Lead AI Engineer
HelpFirst AI
2022-Mar 2025
Award-winning LLM solutions • £400k annual savings • 92% accuracy
Bryant Medical logo
Lead Data Scientist
Bryant Medical
2021-2024
Patented AI diagnostics • Computer vision • 60% faster diagnosis
LoveHolidays logo
Data Scientist
LoveHolidays
2021-2021
ML recommendation engine • 2.8x booking increase • £17M revenue
London South Bank University logo
Associate Lecturer
London South Bank University
2019-2021
Computer Science & Data Science teaching
Imperial College London logo
Graduate Teaching Assistant
Imperial College London
2017-2020
Fluid Mechanics teaching • Lab demonstrations • Exam invigilation

Education

Faculty AI logo
Fellow in Data Science
Faculty AI
2021 - 2021
Advanced training in machine learning and data science.
Imperial College London logo
PhD Fluid Mechanics, Civil and Environmental Engineering
Imperial College London
2017 - 2021
Research in computational fluid dynamics and environmental flows.
Aalborg Engineering logo
MSc Energy Engineering
Aalborg Engineering
2014 - 2016
Specialization in thermal energy and process engineering.
West Virginia University logo
MSc Mechanical and Aerospace Engineering
West Virginia University
2014 - 2016
Focus on mechanical systems and aerospace applications.
Universidad Carlos III de Madrid logo
BSc Industrial Engineering
Universidad Carlos III de Madrid
2011 - 2015
Specialization in energy technologies and industrial processes.

Latest Blog Posts

Insights on blockchain ML, compliance, and production systems

ML for Blockchain Compliance: Real-World Challenges

Building ML systems for stablecoin compliance and cross-chain monitoring at scale—lessons from …

Blockchain Machine Learning
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ML for Blockchain Compliance: Real-World Challenges

Practical insights from building ML systems for blockchain security and stablecoin compliance at …

Blockchain Machine Learning
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Production LLM Systems: Key Lessons

Practical insights from deploying LLM applications at scale: performance, costs, and reliability.

LLM Production
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