Curriculum Vitae
Fermin Orozco
Education
PhD in Privacy-Preserving AI
University of Exeter
Thesis: Federated Learning for Intelligent Transport Systems. Developing privacy-preserving federated learning frameworks that enable collaborative AI model training across distributed transport infrastructure without centralising sensitive data.
MEng in Mechanical and Electrical Engineering
University of Bristol
First-Class Honours - 4.0 GPA Equivalent. Thesis: Deep Reinforcement Learning for Traffic Management with Connected and Autonomous Vehicles.
Experience
Co-Founder & Lead AI Scientist
Telemyr
- Co-founded an AI consultancy helping organisations optimise logistics and operations through data infrastructure and machine learning.
- Building predictive models for stock forecasting and optimisation methods for stock and purchasing control.
- Anthropic and OpenAI partner organisation, deploying LLM solutions for enterprise clients.
Teaching Assistant
University of Exeter
- Delivered tutorials and lab sessions for Fundamentals of Machine Learning and Introduction to Data Science.
Intelligent Transport Systems Engineer
AECOM
- Member of the ITS team, implementing intelligent transport solutions across infrastructure projects throughout the UK.
Teaching Assistant
University of Bristol
- Supported undergraduate teaching for EEE units Digital Design and Embedded and Real-Time Systems.
Publications
Wahlstrom, J., Orozco, F., et al. (2025).
"IMU Alignment using Maximum Likelihood Estimation."
IEEE Sensors
Orozco, F., et al. (2026).
"Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation."
IEEE Open Journal on Intelligent Transport Systems