Rouella Mendonca

About Rouella Mendonca

I lead the development and scale-up of AI systems in global health, spanning custom model development through production deployment and responsible monitoring in the field.As Director of AI Engineering & Innovation at Audere, I oversee the research, engineering, and operationalization of AI models supporting malaria care, HIV prevention, treatment adherence, and self-care programs across diverse, low-resource environments.My work bridges AI research, engineering execution, and public health — ensuring models are technically rigorous, context-aware, and resilient once deployed. I bring a product background into engineering leadership, enabling strong translation between strategy, user needs, and system design.

Experience

1. Chief Ai Officer

   Audere

   Nov 2025 — Present · Seattle, WA, US

   Lead AI engineering and innovation across Audere’s global health portfolio, with a focus on designing, deploying, and scaling responsible AI systems in real-world health contexts. Own the technical strategy and execution of AI models, applied AI, data infrastructure, and AI monitoring systems supporting malaria care, HIV prevention, treatment adherence, and self-care delivery in underserved communities and low resource settings- Lead cross-functional AI engineering teams building end-to-end ML systems, from data pipelines and model development to deployment and monitoring in the field- Drive innovation in responsible AI, including automated monitoring, evaluation, and mitigation of model performance in live health programs- Oversee architecture and MLOps practices to ensure reliability, equity, and impact across diverse geographies- Shape Audere’s long-term AI strategy, balancing experimentation, rigor, and delivery in high-stakes health environments- Commissioner on the Lancet Commission for AI and HIV.

Education

• Harvard Business School

  Disruptive Strategy

• Texas A&M University

  Bachelor of Science, Computer Engineering

  2003 — 2007

• Texas A&M University

  Master of Science, Electrical and Computer Engineering

  2007 — 2009

Skills

• Mobile Applications
• Machine Learning
• Software Development
• Scrum
• User Interface Design
• Managing Partner Relationships
• Project Management
• Program Management
• Cross-Functional Team Leadership
• User Experience
• Software Engineering
• Visual Studio
• Artificial Intelligence
• Agile Project Management
• Product Management
• Software Project Management
• Software Design
• C#
• .net
• User Interface
• Agile Methodologies
• Data Analysis
• Management