- Creating next-generation neuro-symbolic AI using knowledge graphs.- Designing a reliable, auditable, and accessible data science studio.

I lead data engineering, data quality, and AI Governance for a top 50 bank.My accomplishments in this role include:- Created the enterprise data quality program for hundreds of petabytes of data and over 6,000 employees.- Developed three key applications to support data quality: Anomaly Detection, Data Profiling, and the Data Health Scorecard.- Designed the AI governance program. Created the AI testing, review, and risk assessment processes.- Created AI application for data quality.- Providing governance of data pipelines and data engineering processes for the enterprise.- Architecture design for the new enterprise data platform.- Development and implementation of the Enterprise Data Governance program for twelve lines of business and 72 business units. Collaborating with business stakeholders to improve data management and meet data requirements.- Writing and maintaining key corporate documents, including policies, procedures, controls, guidelines, standards, and other key documents.- Leading key enterprise projects in AI, data, privacy, governance, and risk management.- Analysis and improvements of business and technical processes, risks, and controls.- Creating key reports, visualizations, and metrics for executives and senior management.- Designing and implementing enterprise-wide training.- Developing processes and controls for regulatory compliance.- Created the merger and acquisition data integration process.- Mentoring and development of team members.

- BBVA global data lake platform data engineering.- Developing and testing Spark data pipelines.- Testing data quality.- Code review and software testing.- Managing data catalog, data dictionaries, and schemas.- Writing documentation and training users.

- Building Industry 4.0 tools and capabilities in IoT, Big Data, and Analytics.- Focused on OEE, predictive maintenance and quality, improving transparency, increasing data-informed decisions through process digitalization, live visualizations, and predictive analytics from equipment, production, and maintenance data.- Developed and managed maintenance app for improved asset and resource management. Tracking, visualizing, and analyzing equipment maintenance for improved analysis and forecasting of equipment issues.- Collaborated with the Mercedes data science team and other business groups to manage data and use cases.

- Trained, tested, and managed machine learning models.- Web app development.- Responsibilities included research, architecture, design, planning, prototyping, developing, testing, deployment, and maintenance.

Translated Chinese into English for the video game “Herofall: Utopia of Skyland”, including the names of characters, weapons, and spells.