Wendell

Leading end-to-end delivery of enterprise AI solutions across financial services, manufacturing, healthcare, and legal sectors throughout APAC. I architect production ML systems solving complex business problems, from generative AI document intelligence platforms processing 50K+ legal documents monthly to MLOps infrastructure enabling $5M+ in new project opportunities. My work spans the full AI lifecycle: collaborating with C-suite stakeholders to identify high-impact use cases, designing scalable architectures balancing innovation with pragmatic risk management, and driving adoption through technical enablement and change management. Currently specializing in generative AI applications while mentoring engineers on LLM development and contributing to Capgemini's broader AI practice through technical whitepapers and knowledge sharing

Advanced to full ownership of ML feature development and production deployments for banking and e-commerce clients. Led technical implementation of recommendation systems increasing conversion rates 18% and predictive analytics reducing customer churn 22%. Collaborated cross-functionally with product managers, data engineers, and business analysts to scope projects, design solutions, and deliver end-to-end from data pipelines through model deployment and monitoring. Began taking on client-facing responsibilities including technical presentations to stakeholders and conducting requirement-gathering workshops. This role solidified my transition from traditional software development to specialized ML engineering, establishing foundations in production ML best practices, model evaluation methodologies, and translating business metrics into technical objectives.