About Me
I am an engineer and Data Science/Machine Learning practitioner with a PhD in Structural Dynamics from Imperial College London and extensive experience in the aerospace industry (Rolls-Royce, Airbus).
I recently completed a Data Science with Machine Learning & AI career accelerator at the University of Cambridge, focusing on Deep Learning, LLMs, and agentic architectures.
I bring a strong analytical and research-oriented mindset, excellent communication skills, and a thorough approach to Machine Learning and Artificial Intelligence solutions. One of my main interests is the application of Generative AI and agentic architectures to complex real-world challenges.
What Iām passionate about
- Exploring the intersection of engineering and AI, creating generative workflows such as my natural-language-to-3D CAD pipeline. Iām currently extending this toward a full FEA workflow.
- Leveraging Large Language Models (LLMs) for advanced applications, including retrieval-augmented automated debugging and multi-agent orchestration (e.g. Bank of England project).
- Delivering end-to-end ML solutions, from training classifiers like XGBoost and Neural Networks to deploying them with FastAPI and Docker.
Education & Work Experience
- š¬ PhD, Structural Dynamics ā Imperial College London (sponsored by Rolls-Royce Civil)
- āļø Stress Engineer, Rolls-Royce Defence ā focused on low-pressure turbine blade vibration and HCF analysis for a technical demonstrator
- āļø Loads & Aeroelastics Engineer, Airbus UK ā responsible for whole-aircraft gust loads across multiple programs and ground loads calculations
- š Data Science & AI Accelerator ā University of Cambridge
Alongside my transition into Data Science and AI, I also maintain a deep research track in structural dynamics and complex vibration interactions. For those interested in rotor dynamics, aeroelasticity, or vibration analysis, you can explore my research here.
Selected Projects
- OpenAI ā FreeCAD Workflow: Natural language ā parametric CAD with automated error correction. View Project
- LLM Financial Regulatory Auditor: Multi-agent LLM evaluation framework (Bank of England use case). View Project
- JP Morgan Credit Default Predictor: XGBoost + FastAPI web app for real-time credit risk prediction. View Project