GenAI Software Engineer @ Walmart Global Tech Specializing in building Production-Grade LLM Applications, Multimodal RAG, and Agentic Workflows. I bridge the gap between Enterprise Java infrastructure and modern Python AI capabilities.
🚀 Open Source Leadership (Langchain4j)
Driving the Enterprise Java AI ecosystem by implementing critical integrations and standards.
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Model Context Protocol (MCP) Lead:
- Architected and delivered the Java MCP Server implementation (Protocol in Core / Implementation in Community).
- Enabling Java apps to natively expose tools/resources to AI clients like Claude Desktop.
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Enterprise Tooling & RAG:
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Jira & Web Scraper Tools: Engineered self-healing Agent tools with token-optimized parsers (ADF/HTML
$\to$ Markdown) and Real-LLM E2E testing pipelines. - Knowledge Loaders: Built resilient Document Loaders for Confluence and GitLab, bridging the gap between proprietary enterprise data and LLMs.
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Jira & Web Scraper Tools: Engineered self-healing Agent tools with token-optimized parsers (ADF/HTML
| Domain | Technologies |
|---|---|
| Generative AI | LangGraph, LlamaIndex, vLLM, RAGAS, Prompt Engineering |
| Vector Search | Milvus, FAISS, Neo4j GraphRAG, Hybrid Search (Dense + Sparse), Reranking |
| Backend & Infra | Java (Spring Boot), Python, Kafka, Redis, Docker, Azure AKS |
| Observability | Prometheus, Grafana, OpenTelemetry |