Shalu G.

I build production-ready AI agents and modernization solutions for complex enterprise systems. With 13+ years of experience across mainframe, legacy modernization, cloud, and enterprise architecture—and recent hands-on work designing Agentic AI platforms—I help organizations turn difficult legacy and business processes into AI-powered, API-enabled, cloud-ready solutions. My strongest advantage is the combination of deep legacy-system expertise + modern AI engineering. I don't just build an AI agent in isolation. I understand the underlying COBOL, databases, batch processes, business rules, dependencies, and enterprise workflows that the agent needs to work with. ### What I can build for you • Agentic AI systems and multi-agent platforms • AI agents for legacy application analysis and modernization • RAG-based enterprise AI solutions • AI agents for reverse engineering and business-rule extraction • Dependency analysis and application discovery agents • Automated code analysis, documentation, and test-generation agents • COBOL / JCL analysis and modernization workflows • AI-assisted code conversion and migration pipelines • Data migration and schema-conversion agents • Enterprise workflow automation using AI + deterministic processing • API-enabled modernization of legacy applications • AI integrations with enterprise databases, applications, and APIs • Cloud-ready modernization architectures on AWS, Azure, and GCP ### Legacy & Mainframe Modernization I have extensive hands-on experience with: IBM Z / zOS | COBOL | PL/I | Assembler | JCL | CICS | VSAM | DB2 | IMS** and modernization across: Micro Focus Enterprise Suite | AWS Blu Age | AWS Transform | Fujitsu NetCOBOL | OpenVMS | IBM i / AS400 I can help with: • COBOL application assessment and reverse engineering • Monolithic COBOL refactoring • Mainframe-to-cloud modernization • COBOL-to-Java transformation • COBOL-to-SQL modernization • Batch-to-API / service modernization • VSAM-to-relational database migration • DB2 / IMS / Rdb / Oracle / SQL Server / PostgreSQL migrations • Assembler / PL/I modernization • API integration with legacy applications • CI/CD and DevOps enablement for hybrid environments ### Recent Agentic AI Experience I currently design and build enterprise-scale multi-agent AI platforms for modernization. Examples include agents for: • Application inventory and technology discovery • Reverse engineering • Business-rule extraction • Dependency analysis • Code conversion • Documentation generation • Test-case generation • Migration planning • Schema discovery and mapping • Data migration validation • Modernization recommendations I also build orchestration frameworks that allow specialized agents to collaborate while combining AI reasoning with deterministic validation, which is critical for enterprise environments where accuracy, traceability, and governance matter. ### Enterprise & Cloud Technology AI / Agentic AI: LLMs, RAG, Prompt Engineering, Multi-Agent Systems, LangGraph, MCP, Vector Databases Cloud: AWS, Azure, GCP Development: Python, Java, SQL, C#, Shell DevOps: Docker, Kubernetes, Terraform, Ansible, Jenkins, Git/GitHub Databases: DB2, IMS, SQL Server, PostgreSQL, Oracle, Oracle Rdb, VSAM ### Why clients work with me I can work across the complete lifecycle: Understand the problem → Analyze the existing system → Design the architecture → Build the solution → Integrate → Test → Deploy → Document This is particularly valuable when the project involves both modern AI technology and complex existing enterprise systems. If you need someone who can build an AI agent from scratch, modernize a COBOL application, design an enterprise migration strategy, or combine AI with legacy-system expertise, I can help take the project from assessment through implementation.