Airbus technical reference for applying Artificial Intelligence and Machine Learning techniques tosolve high business-value problems and seize business opportunities. Responsible for:• Product Owner and Data Science Lead for a divisional initiative to bring Generative AI solutions to Airbus’ constrained environment. Includes coding, prompt engineering and RAG use cases across different business functions (>1k users).• Providing strategic guidance to Airbus DS Executive Committee on AI adoption acceleration whilst overcoming AI adoption challenges and risks.• Staying updated on AI trends, technologies, and best practices, exploring innovative ways to leverage AI for competitive advantage influencing technology roadmaps and presenting at mass communication events on AI.• Providing guidance, mentoring, and training to team members and junior staff on AI-related topics and skills

Senior Data Scientist responsible for developing and deploying AI/Deep Learning solutions for high business-value use cases within Airbus Defence & Space. Responsibilities included:• Framing business problems and AI/ML approaches/techniques for a solution.• Developing End2End PoCs for the business-qualified use cases. Technical areas include: - Technical areas include: - Time Series Analysis for Anomaly Detection (ongoing patent). - AI-based Computer Vision for anomaly detection in manufacturing. - AI-based Computer Vision for Visual Based Navigation for planetary rovers. - Reinforcement Learning for attitude control and optimization/decision-making problems (ongoing patent).• Leading the DataLab within the Airbus DS promoting and accelerating AI adoption across Airbus DS with Executive Committee sponsorship. Responsibilities included: - Assess AI-related ideas from the divisional innovation pipeline. - Mentor and Coach individuals and projects from the selected AI-related ideas. - Provide the AI & Analytics community with a suitable cloud environment for prototyping.

Responsible for the Guidance Navigation and Control (GNC) and Robotics team in Airbus DS UK. Tasks and responsibilities include:• First line manager of a team of ~12 aerospace/control/software engineers• Deal with career development aspects, goals management, appraisals and annual interviews, coaching and training needs• Manage the team workload, resources and operational planning• Follow end to end recruitment process• Hold Monthly Business Reviews with teams, PMOs and upper management• Define R&D/R&T roadmaps for the team, liaising with different stakeholders (e.g. TDMs orR&D&T coordinators)Define R&D/R&T roadmaps for the team, liaising with different stakeholders (e.g. TDMs or• Capture new business for the team, internally and externally

“The SMART-FDIR project proposes a novel and generic engineering approach towards on-board Failure Detection Isolation & Recovery (FDIR) for autonomous critical systems such as spacecraft, aircraft or drones. During the initial prototyping phase we have developed a tailored unsupervised deep learning technique inspired on the Generative Adversarial Networks paradigm and demonstrated first promising results”Leading Machine Learning and Artificial Intelligence applications for AOCS/GNC and FDIR R&D within Airbus DS Space Systems. • SMART-FDIR: Unsupervised anomaly detection techniques for on-board high frequency time series/telemetry. Experience with RNN-GRU/LSTM, Autoencoders and Generative Adversarial Networks with low level Tensorflow implementation• GNC-v.AI: Deep Reinforcement Learning to synthetize control and estimation algorithms for challenging space GNC applications. Familiarity and hands on experience with Policy Gradient methods (e.g. A3C, ACKTR or PPO) and Evolutionary strategies (e.g. CMA-ES)

• Lead AOCS subsystem related tasks within different proposals/bids. Participation in Phase A/B1 trade-offs at system level• Technical lead for Advanced Studies for ESA: Robust Attitude Control for Flexible Spinners including: complex non linear dynamics modelling, GNC architecture trade-offs, Robust Controller synthesis and validation• Specialist support to different teams within AOCS/GNC department around control synthesis, GNC architecture, dynamics modelling or stability analysis• Extensive modelling experience: multi-body dynamics (rigid/flex), sensors (GYR, FSS or STR) and actuators (THR, RW)In June 2018 I earned the title of "Specialist on Advanced Control and Dynamics with applied Artificial Intelligence", a trans-divisional recognised expertise on complex flexible and multi-body dynamics, robust control design, analysis and tuning and artificial intelligence techniques applied to the domain

AOCS/GNC Engineer for Interplanetary Missions and Advanced Studies. AOCS Mode design, tuning and validation activities for major European Space Agency (ESA) missions: Solar Orbiter (~2.5 years), JUICE (~6 months). Role activities and responsibilities include: • Control, Estimation and Guidance algorithms design, analysis and trade-offs • Control algorithm tuning and stability analysis (MIMO, multi-rate and non-linear analysis). Frequency and time domain• Specification and implementation of the full AOCS flight SW validation campaign on Function Validation Bench • Set up of large Monte-Carlo campaigns. Processed, analyzed and derived conclusions on AOCS performance requirements• Provide Analysis support to higher SW/HW benches of the Functional Avionics ChainDuring this time I developed expertise in Advanced Robust Control (Hinfinity), linear/ non-linear stability analysis techniques (SISO, MIMO multi-rate systems). I was also able to acquire extensive experience on multi-body dynamics and flexible structures with flexible modes formulation.

Graduate Engineer in the Attitude and Orbit Control System (AOCS) department providing AOCS/GNC engineering analysis and support to ESA advanced studies/projects. Develop experience in the following areas:• Flexible spacecraft as well as multi-body dynamics modelling and simulation • Robust Control techniques for spacecraft attitude control (Hinfity tuning)• Linear and non-linear stability analysis with multi-rate control loops• High fidelity multibody dynamic simulation with ADAMS (by MSC) in the loop. Developed flexible tether dynamics full 6DoF model• Use of innovative generic optimisation techniques on various aspects of the studies Enrolled in Campus Management that aim at promoting Airbus Defence & Space Graduate Development Programme amongst top UK universities. Role activities and responsibilities include:• Focal point for Cambridge and Strathclyde Universities recruitment and career fair events• Organizing student visits and site tours at our facilities in Airbus DS Stevenage• Promoting and giving presentations to Cambridge and Strathclyde students on Airbus DS activities and products

ML Alpha is for now a project to revolutionise the field of investing through Community and AI. With ML Alpha we empower a thriving user community to leverage machine learning (ML) and artificial intelligence (AI) to empower data-driven investment with our algorithms and/or the ones developed by the community. Through ML Alpha I have developed expertise in:• Building complex data pipelines. From raw data to final ml-ready data• Training and Validating various Machine Learning models for stock performance predictions• Backtesting different Investment strategies• Front-End development (vue.js)• Website audiovisual and written content creationThe website is available here: https://mlalpha.com/

THALES AVIONICS, Toulouse, France Position: 5 month internship within Flight Control & Guidance Product Department. • Built and validated an aerodynamic, propulsion and dynamics simulation models of a real aircraft from experimental data• Integrated these models into a full close loop simulator for testing Control & Guidance laws of the autopilot• Performed final model tuning and validation by comparing it with real flight tests• Diagnosed autopilot performance issue and proposed new control law tunings to solve it

Summer internship within GMV Aerospace & Defence at the Flight Dynamics &Operations Department.• Tested, analysed and optimised the performance of a debris re-entry calculator, OPERA• Worked under client demands• Elaborated documentation for the client, CNES