Patrick Capaldo
Ai Engineer @Airbus
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WORK HISTORY
Ai Engineer @Airbus
Bristol, DE
Machine Learning Anomaly Detection and MLOps for Artemis Orion’s European Service Module using Kubeflow Pipelines (Bremen, Germany). Implementing algorithms such as isolation forest to analyse propulsion system data.Explainable Reinforcement Learning (XRL) research for logistical management and mission planning using Proximal Policy Optimisation (PPO) and Deep Q-Learning (DQN)- 2 academic papers accepted at international conferences (1 as first author).End-to-End Machine Learning Engineering (Bristol, UK)- Airline delay and air quality prediction in a heavily regulated industry- Exploratory data analysis with SQL- Data engineering- Model experimentation- CI/CD pipeline implementation for model maintenance and serving- REST API for online inference of airline delays and air qualityDevSecOps Software Engineering (Stevenage, UK)- Implementing a CI pipeline for validation of software for the OneSat program- Developing a CONOPS-style explanation for network interactionsGoogle Cloud Platform- Certified Professional Machine Learning Engineer- Advanced Solutions Lab Advanced Generative AI Certification
EDUCATION
University of Southampton
Mechanical & Aerospace Engineering
Adelaide University
Bachelor of Mathematical & Computer Sciences - BMa&CompSc (Honours), Mathematical
University of Southampton
Mathematical & Computer Science
Adelaide University
Bachelor of Engineering - BE (Honours), Mechanical & Aerospace Engineering
University of South Australia
Course (2-month), Astrophysics
EPFL
Space Mission Design and Operations (EE585x)
ABOUT PATRICK CAPALDO
I am a fascinated builder of assurable, effective, reliable, and resilient autonomous systems in safety-critical and highly-regulated industries. With 6 years\' experience in the defence and aerospace industries and as a current AI Engineer at Airbus, I have worked, and am working towards this by helping- Build unsupervised anomaly detection systems for ground testing of the European Service Module\'s propulsion system for NASA\'s Artemis program (the powerhouse of the human-rate Orion spacecraft)[Airbus Defence & Space]- Automate and parallelise satellite software scripts for Airbus\' OneSat geostationary communications satellite [Airbus Defence & Space]- Build an AI-augmented wing assembly assistant for the A350 (the world\'s most advanced long-haul aircraft)[Airbus Commercial]- Automate the ingestion, cleaning, and analysis of telemetry data from the SatVu / Surrey Satellite Technology HotSat thermal imaging satellite [SatVu]- Publish two research papers at two international conferences on the topic of explainable reinforcement learning (XRL) for aircraft manufacturing logistics (XAI World Conference as second author and EXPLAINS 2025 as first author and best paper nominee)[Airbus Commercial]- Develop a visualisation tool for the Royal Australian Air Force\'s Jindalee Operational Radar Network, the world leader in high-frequency, skywave over-the-horizon radar technology [Lockheed Martin]- 🧠 Build distributed, autonomous, decision-support tools for the Royal Australian Air Force to flatten spikes in operator cognitive load [Defence Science and Technology Group].In my spare time, I volunteer at the Institution of Engineering and Technology (IET) within the Aerospace and Artificial Intelligence Technical Networks to share and advance public knowledge in these fields and to engineer a better world.
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