cv

Career Transition

• Comprehensive preparation for a career in data, with focused training in MLOps, data analysis and data science.
• Built a portfolio of dashboards, predictive models and data pipelines.

Marie Curie Research Fellow

• Awarded a competitive €245,000 grant to develop machine learning solutions for advanced manufacturing optimisation.
• Designed and implemented an anomaly detection system using ML models on sensor time-series data, resulting in a ~15% reduction in unplanned downtime.
• Developed a reinforcement learning framework to train robotic manipulators on precision reaching tasks.

Postdoctoral Research Fellow

• Optimised composite structures via computational methods
• Applied topology and evolutionary optimisation to define optimal material layouts, achieving a 20% improvement in stiffness-to-weight ratio.
• Developed high-fidelity numerical models (FEA) to predict complex mechanical behavior, validating against experimental data.
• Employed machine learning on simulation models to identify optimal material parameters.

PhD Researcher

• Developed passive vibration damping solutions for lightweight sandwich structures
• Performed modal analysis on aircraft structures using finite element analysis (Ansys).
• Implemented evolutionary optimization algorithms in Matlab to identify optimal damping configurations.
• Validated models experimentally using accelerometers, laser vibrometers and spectrum analysers.

Teaching Assistant

• Modules taught : solid mechanics, computational engineering, Computer-Aided Design (CAD)

Research Assistant

• Modelling of wear using adaptive meshing in finite element analysis applied to aerofoil blade friction damper in a Rolls-Royce gas turbine.

Project Management Intern

• Harmonisation of CatiaV5 settings configuration for A350 programme across all the main Airbus plants (France, Spain, Germany, United Kingdom).

PhD in vibration mechanics and optimisation

• evolutionary optimisation
• exploratory data analysis
• data visualisation
• numerical modelling (finite element analysis)

MSc Mechanical Engineering

• mechanical engineering
• computer science
• engineering mathematics
• electronics
• material science

MSc Engineering System Management

• managing projects and programmes
• system modelling
• supply chain management
• sustainable engineering

French ‘classes préparatoires’ (BSc Engineering)

• mathematics
• physics
• chemistry

• Cloud Computing Essentials with Azure
• Tableau for Data Visualization
• MySQL for Data Analytics
• Docker tutorial — Build and share a containerized app

• Reinforcement Learning Specialization
• Machine Learning Specialization

• Getting started with Pytorch
• Introduction to Data Analysis
• Introduction to Machine Learning