I am a Data Scientist and Computer Vision Engineer specialising in the development and deployment of high-performance machine learning and computer vision solutions. My work spans the full lifecycle of applied data science projects, from proof of concept to production deployment, delivering actionable insights and tangible business impact.
In my current role, I develop custom computer vision models, including segmentation and detection systems, and collaborate closely with cross-functional teams to translate complex business requirements into data-driven solutions. I also ensure smooth integration of models into production environments, delivering reliable solutions for clients in the energy and telecommunications sectors.
Previously, I worked at Baker Hughes as a Wireline Data Acquisition Engineer, leading teams to deploy sensor technology and manage oilfield data acquisition operations. This role involved ensuring high-quality data from more than 20 oil and gas wells, enabling advanced analytics and operational decision-making, and generating millions in revenue for clients.
Early in my career, I gained experience in reservoir engineering at Chevron, automating production data workflows, conducting reservoir optimisation, and supporting deepwater drilling operations.
I hold a Bachelor of Engineering in Petroleum Engineering and have pursued extensive professional development through certifications in machine learning, deep learning, and oil and gas operations. Highlights include multiple DeepLearning.AI specialisations in neural networks, convolutional neural networks, sequence models, and other advanced machine learning topics, as well as industry-specific qualifications such as Baker Hughes Wireline Academy certifications, IFP School Oil & Gas training, and the Well Intervention Pressure Control Programme (Level 4 Merit).
I have technical expertise in Python, Scikit-Learn, PyTorch, TensorFlow, Docker, Flask, and SQL. My interests extend to augmented reality, machine learning, computer vision, fintech, and energy. Beyond technical work, I am passionate about mentorship and knowledge sharing, having presented on multi-classification tasks at professional data science events and actively supporting upcoming data scientists.