Experiences

At Airbus, I played a crucial role as a Technobrick Owner, leading the development and integration of AI-driven robotic perception systems for aerospace manufacturing. My primary focus was on enhancing automation and intelligence in robotic solutions through deep learning, computer vision, and sensor fusion techniques.

Key responsibilities included:

• Leading Technobrick Development: Designed and implemented perception modules for robotic systems, optimizing them for real-world aerospace applications.

• Sensor Fusion & AI Integration: Developed deep learning models and sensor fusion techniques to enhance object detection, pose estimation, and anomaly detection.

• Cross-functional Collaboration: Worked with multidisciplinary teams across France, Spain, Germany, and the UK, ensuring seamless integration of AI solutions into Airbus' robotics infrastructure.

• End-to-End Deployment: Spearheaded the full lifecycle of perception solutions, from prototyping to deployment, improving efficiency and reliability in manufacturing automation.

• Innovation & Research: Explored cutting-edge AI advancements, including state-of-the-art neural networks and computer vision algorithms, to push the boundaries of robotic autonomy.

As a Technobrick Owner, I was responsible for both the technical execution and strategic direction of the perception modules, ensuring they aligned with Airbus' long-term automation goals. This role refined my leadership, problem-solving, and cross-functional collaboration skills—key traits I now bring to the product management domain.

At Trinity Mobility, I played a pivotal role in developing AI-driven solutions for smart city applications, focusing on computer vision, deep learning, and predictive analytics. My work contributed to optimizing urban infrastructure, traffic management, and emergency response systems.

Key contributions:

• Image Segmentation & AI Models: Developed and deployed state-of-the-art deep learning models for object detection and segmentation, improving accuracy in traffic monitoring and urban planning.

• Traffic Congestion Prediction: Built machine learning models to predict congestion patterns, enabling real-time traffic optimization for smart cities.

• Low-Code ML/DL Tools: Designed and implemented low-code/no-code AI platforms, empowering domain experts to leverage AI without extensive coding knowledge.

• Cross-functional Collaboration: Worked closely with engineering and product teams to integrate AI solutions into scalable, production-ready systems.

Through my experience at Trinity Mobility, I honed my ability to translate complex AI concepts into impactful real-world applications, a skill that continues to shape my approach to technology-driven product innovation.