Michael Yeh

Led end-to-end AI integration and mobile app development initiatives while mentoring team members and conducting advanced ML research. Managed comprehensive system architecture and oversaw technical recruiting processes.

• Designed and developed mobile applications from scratch using React Native, while integrating backend services with Node.js to ensure seamless data flow aligned with strategic technology goals.
• Enhanced application performance through implementation of Redux for state management and established robust CI/CD pipelines using Gitlab.
• Spearheaded the integration of TensorFlow-based AI models, improving system capabilities and user experience.

Leveraged extensive programming expertise to develop scalable, maintainable solutions while collaborating with senior engineers and architects to align with AWS best practices.

• Led the integration of team services with AWS CloudFormation Registry, enabling customers to efficiently manage resources using infrastructure as code.
• Developed and deployed a React-based front-end project for resource cost visualization, resulting in monthly savings exceeding $1000 per tag-based application.
• Successfully diagnosed and resolved critical data transition issues by identifying root causes in dependency services and implementing comprehensive Java-based fix scripts.
• Created an intuitive help panel using React and TypeScript for the service console, significantly improving customer experience and feature adoption.

Orchestrated development and maintenance of high-volume data processing applications while leading scrum team initiatives and implementing business intelligence solutions.

• Maintained and enhanced a mission-critical 5-year internal resource planning system using Mendix, implementing automation that reduced order registration time by 70%.
• Engineered an automated ETL pipeline on AWS incorporating streaming, batch processing, and data aggregation for generating actionable insights.
• Led scrum team activities and implemented agile methodologies to improve project delivery efficiency.

Spearheaded data integration and analysis initiatives using advanced machine learning techniques and cloud platforms.

• Successfully integrated and analyzed large-scale datasets exceeding 10 million rows using SQL, BigQuery, and Google Cloud Platform.
• Developed and implemented an automated user information identification system utilizing machine learning and NLP analysis techniques.
• Created and deployed a high-accuracy sales forecasting model using ARIMA and LSTM, achieving 83% accuracy in predictions.
• Designed and implemented automated ETL pipelines using Airflow and Google Cloud Platform for efficient data processing.

Managed strategic corporate banking relationships while implementing process improvements and conducting comprehensive financial analysis.

• Developed and maintained a comprehensive financial database for over 65 leading Taiwan corporate groups, establishing robust account management processes.
• Successfully initiated and secured a US $22 million credit limit extension for a new client through detailed financial analysis and risk assessment.
• Led workshops and policy update initiatives to enhance credit process efficiency and standardization across the organization.

Purdue University

Master of Science (MSc) in Business Analytics and Information Management

Krannert School of Management, West Lafayette, IN

National Taiwan University

Double Major: Bachelor of Art (BA) in Economics, Bachelor of Science (BSc) in Psychology

Taipei, Taiwan