
Doctorate in Business Administration Candidate in Digital Leadership, Terence has amassed over 25 years of experience in digital transformation. He has successfully delivered complex real-time technology solutions and has been instrumental in shaping city-level technical architecture and strategy. His extensive expertise encompasses the entire lifecycle of advanced enterprise systems, including design, development, implementation, maintenance, and operation. Terence has effectively aligned digital solutions with corporate objectives, achieving scalability across various sectors and industries, enhancing operational efficiency and fostering innovation. Terence also possesses a strong foundation in electronics, communications, cybersecurity, interface design, sensors, and IoT. He has integrated IoT sensor systems with major cloud vendors to enhance infrastructure monitoring and performance analytics. His experience extends to developing and deploying large-scale production applications on cloud platforms, coupled with a working knowledge of DevOps software development tools and methodologies.
With over 21 years of military experience in strategic planning command positions, Terence brings extensive counterterrorism and combat expertise from multiple overseas missions involving unilateral and bilateral exercises. He is trained in cross-platform operations (land and air combat) with proficiency across various weapon systems and combat tactics (heliborne, seaborne, conventional, and urban). His strong background enables him to deliver precise Threats, Vulnerability, and Risk Assessments (TVRA) using various methodologies. Furthermore, his expertise in physical security planning and design is enhanced by his knowledge of electronics, communications, cybersecurity, sensors, and IoT, providing a strategic advantage in developing integrative systems.
Terence currently leads a team of data scientists and computer engineers in developing state-of-the-art GenAI systems. These systems harness insights from multidisciplinary domain experts and employ sophisticated machine learning algorithms to create AI-driven knowledge and review engines.
Designed to support decision-making processes, generate creative content, and streamline complex workflows, these engines integrate data from diverse fields while applying advanced AI techniques. The project won the Google Transformation Award 2024.
The product was eventually commercialized as KELIX® (Knowledge Engineering Learning Intelligence and Exploration)