Research & Publications
Pioneering the future of enterprise technology through innovative research in AI, mainframe modernization, and intelligent systems.
Featured Research
Breakthrough innovations in enterprise AI and legacy system modernization
MCAP Protocol
Mainframe Context-Aware Protocol
Reviving COBOL with LLMs: Introducing the Mainframe Context-Aware Protocol (MCAP)
A groundbreaking protocol that bridges the gap between legacy mainframe systems and modern Large Language Models, enabling intelligent COBOL code analysis, modernization, and maintenance through context-aware AI assistance.
Key Innovations
- • Context-aware COBOL parsing
- • LLM integration for legacy systems
- • Automated code modernization
- • Intelligent documentation generation
Impact Areas
- • Mainframe modernization
- • Legacy system maintenance
- • Knowledge transfer
- • Technical debt reduction
Research Focus Areas
Exploring the intersection of AI, enterprise systems, and modern software development
AI & Machine Learning
Developing intelligent systems that understand and interact with legacy enterprise environments, enabling seamless integration between traditional and modern technologies.
Mainframe Modernization
Researching innovative approaches to modernize legacy mainframe systems while preserving critical business logic and ensuring seamless operational continuity.
Enterprise Architecture
Exploring scalable, resilient architectures that bridge the gap between legacy systems and modern cloud-native applications in enterprise environments.
Publications & Intellectual Property
Contributing to the global knowledge base in enterprise technology
Research Papers
Reviving COBOL with LLMs: Introducing the Mainframe Context-Aware Protocol (MCAP)
Medium Publication • 2024 • AI, Legacy Systems, Mainframe Modernization
Open Source Projects
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