Noble Eselase Vulley
Software Engineer and Applied Machine Learning Researcher
BSc Computer Science, University of Ghana; Software Engineer and Applied Machine Learning Researcher
- DRAKA.PC
- Application Systems Engineer, Enterprise Applications, Data Services & AI Integration
Biography
Noble Eselase Vulley is a Software Engineer and Applied Machine Learning Researcher whose work spans enterprise application engineering, relational database systems and applied Artificial Intelligence.
His professional work focuses on the architecture and delivery of enterprise software systems, together with the design, optimisation and administration of relational database environments.
His research applies Artificial Intelligence and Machine Learning to practical problems across healthcare, finance and software-system improvement, with particular interests in medical image analysis, financial fraud detection, and Large Language Models enhanced through Retrieval-Augmented Generation.
This combination of software engineering, database expertise and applied AI positions him at an important intersection within DRAKA Labs: the point where system architecture becomes working software, institutional data becomes reliable application services, and AI research becomes integrated application capability.
Within DRAKA.PC, Noble contributes to the engineering of enterprise applications and data services that must be secure, maintainable, scalable and capable of supporting intelligent functionality across the University's digital environment.
Research interests
- Medical Image Analysis
- Financial Fraud Detection
- Large Language Models
- Retrieval-Augmented Generation
- AI for System Improvement
Applied domains
- Intelligent search
- Institutional knowledge assistants
- RAG-based services
- Document intelligence
- Anomaly detection
- Fraud detection research
- Intelligent classification
- Decision-support features
- Medical image analysis
- Financial fraud detection
Professional expertise
- Enterprise Software Engineering
- Application Architecture
- Relational Database Systems
- Database Design
- Database Optimisation
- Database Administration
- Applied Machine Learning
- AI Integration
- Large Language Models
- Retrieval-Augmented Generation
DRAKA Labs responsibilities
- 01Contribute specialist engineering capability to the design, development and evolution of DRAKA Labs digital platforms and applied research systems
- 02Bridge research and business problems to application design, software engineering, integration, testing and deployment of operational systems
- 03Contribute to enterprise application development, shared application services, business-logic implementation and application integration
- 04Contribute relational data models, database schemas, constraints, referential integrity, query optimisation and data-access implementation
- 05Support development of RESTful services, service interfaces, validation, error handling, data exchange and integration contracts
- 06Support integration of approved AI services into enterprise applications through approved architecture, data-governance, privacy, security and model-governance processes
- 07Support software quality across code quality, testability, maintainability, performance, reliability, secure coding and documentation
Programme / project responsibility
DRAKA.PC · Application Systems Engineer, Enterprise Applications, Data Services & AI Integration
Contributes to the engineering of enterprise applications and shared application services supporting the University's digital environment, within the implementation layer of the programme (services, database, APIs and events under the approved target architecture).