Reddit Insights · A2A + MCP
Dual-agent A2A → automated Google Docs reports via MCP.
I build AI systems
that actually work.
Agents that coordinate tools and context. RAG that ships. Automation that sticks.
I don't just
vibe code.
LangChain · MCP · A2A · RAG · AWS Bedrock · ServiceNow
Multi-agent systems. RAG pipelines. Production LLM workflows.
Dual-agent A2A → automated Google Docs reports via MCP.
Planner · Retriever · Analyzer · Finalizer agents over MCP.
RAG Q&A over PDFs — AWS Bedrock, FAISS, Llama 3.
01 — Capabilities
A practical stack for building AI products: data foundations, model and agent workflows, backend services, interfaces, and delivery.
02 — Selected work
Agentic systems, RAG applications, and ML pipelines — built end to end and shipped.
03 — The path
Roles spanning AI engineering, software development, research support, and enterprise technology delivery.
04 — Let's talk
Reach out for AI engineering, agentic workflows, full-stack product builds, or data products that need rigorous execution and a polished interface.