My Key Technology Suite
· I am an AI Solution Architect and technology professional with 16+ years of experience across enterprise software engineering, Java, DevOps, SAP BTP Integration Suite, cloud integration and BFSI/capital-markets platforms.
· My current focus is building practical Enterprise AI, Generative AI and Agentic AI solutions that connect LLMs with real business systems, data and automation workflows.
· I work across:
· • Agentic AI & AI Automation — n8n, LangChain, LangGraph, Ollama, OmniRoute and prompt engineering
· • Generative AI & RAG — document ingestion, chunking, embeddings, vector search, semantic search and hybrid retrieval
· • MCP & Enterprise AI — Model Context Protocol, MCP tool discovery, enterprise API integration and AI-driven interaction with SAP systems
· • AI Application Engineering — Python, FastAPI, REST APIs and local/cloud LLM orchestration
· • Enterprise Integration — SAP BTP Integration Suite / CPI, API Management, OData APIs, messaging and event-driven architectures
· • Software & DevOps — Java, Spring Boot, Jenkins, Git, Maven, Gradle, SonarQube and CI/CD
· One of my key AI projects is an SAP CPI MCP Agent that connects a local Large Language Model with SAP Cloud Integration through Model Context Protocol. The agent interprets natural-language requests, discovers MCP tools, invokes SAP CPI OData APIs and converts enterprise-system responses into concise answers.
· I have also designed a RAG pipeline covering PDF ingestion, parsing, chunking, embeddings, local vector-store persistence and semantic similarity search, together with a FastAPI search service.
· My strength is combining AI with established enterprise engineering practices.
· Rather than treating AI as an isolated model, I focus on:
· Business problem → AI architecture → Data/RAG → Agent/workflow → Enterprise APIs → Automation → Deployment → Monitoring → Business value
· My earlier career includes enterprise delivery and technical leadership engagements across BFSI and capital markets, including Wells Fargo, Discover Bank, Citi and JP Morgan Chase environments.
· I enjoy converting complex and ambiguous business requirements into practical, scalable architectures and working with teams to turn emerging AI capabilities into usable business solutions.
· Open to opportunities in:
· AI Specialist | AI Engineer | GenAI Engineer | Agentic AI Engineer | AI Automation Engineer | AI Solution Architect | Generative AI Architect | Enterprise AI Architect | AI Integration Architect
· Core technologies:
Agentic AI | Generative AI | RAG | MCP | LangChain | LangGraph | n8n | Ollama | Python | FastAPI | SAP BTP | SAP CPI | Java | Spring Boot | DevOps | CI/CD | Enterprise Integration
KEY ENGINEERING ACHIEVEMENTS
· Built engineering capability across the delivery organisation through mentoring, standards and review quality.
· Worked on independent and team played deliverables & strong in error handling/trouble shooting.
· Good presentation skills to showcase the stakeholders on problem->solution & issue tracking.
· Designed parallel/chunk-based processing for large data workloads in Linux, spring batch jobs
· Designed controlled concurrent messaging using thread pools and maximum-thread limits.
· Worked on scalable/load-balanced processing architectures.
· Owned solutions across the complete SDLC from requirements through production.
· Diagnosed complex production problems across application, database, messaging and deployment layers.
· Converted complex technical problems into simple architecture/process models understandable to business and engineering stakeholders.
· Built reusable frameworks and engineering accelerators for one of the migration application
· Designed enterprise integration architectures across APIs, messaging and SAP BTP Integration Suite.
· Built RAG and semantic-search systems using Python, embeddings and vector retrieval.