📍 Pennsylvania, USA · Open to U.S. Remote / Hybrid

Enterprise AI and Cloud Solutions Architect combining deep enterprise architecture experience with hands-on delivery in production AI, agentic systems, AWS, MongoDB Atlas data platforms, AI governance, and observability.

I work at the intersection of Enterprise Architecture, Cloud, Data, and AI — helping turn emerging AI capabilities into practical systems that can be safely deployed, operated, governed, and scaled:

• Enterprise AI & Agentic Systems — Model Context Protocol (MCP), LangChain, LangGraph, Multi-Agent Orchestration, and RAG pipelines.
• AWS & Cloud Architecture — AWS (Lambda, API Gateway, DynamoDB, Cognito, EventBridge, SQS), Amazon Bedrock, SageMaker, ECS, Azure, and GCP.
• AI Governance & Observability — Runtime guardrails (@RateLimit, @Cache), input validation (Zod/Pydantic), auditability, and Prometheus/Grafana telemetry.
• Data & AI Platforms — MongoDB Atlas (Search, Vector Search, Time-Series, $graphLookup), PostgreSQL, Oracle, and real-time event streaming.
• Enterprise Modernization — Cloud migration, application modernization, microservices, and distributed systems.
• Technical Leadership — Solution architecture, technical strategy, PoC-to-Production scaling, architecture governance, and CxO/client engagement.

Building toward an enterprise AI architecture model where AI systems become:

Deterministic · Observable · Auditable · Governed · Measurable

Focusing on architectural patterns that provide strict operational controls, traceability, and production confidence for AI-driven enterprise workflows.

MCP + MongoDB Atlas + Policy-Governed Wealth Advisory

• Model Context Protocol (MCP) server exposing portfolio health analysis, compliance screening, and automated rebalancing.
• MongoDB Atlas Vector Search for investment mandate retrieval and interactive Next.js Studio widgets.
• Stack: TypeScript, NitroStack MCP, MongoDB Atlas, Vector Search.

Automotive Diagnostics AI + LangChain + MongoDB Multi-Model

• End-to-end diagnostic assistant orchestrating LangChain RAG over Technical Service Bulletins (TSBs) in MongoDB Atlas.
• Exercises multi-model Atlas features: kNN Vector Search, recursive parts $graphLookup, and 2dsphere $near dealer locator.
• Embedded Prometheus and Grafana telemetry for real-time AI latency tracking.
• Stack: Python FastAPI, LangChain, NitroStack MCP, Docker Compose, Prometheus, Grafana.

Healthcare / Hospital Technology + MongoDB Atlas

• Enterprise healthcare operations module utilizing shared Mongoose schemas across revenue analysis, patient pathways, and clinical decision support.
• Multi-tenant MongoDB Atlas data architecture with strict compliance boundaries and interactive telemetry dashboards.
• Stack: Node.js, TypeScript, NitroStack MCP, MongoDB Atlas.

My technical work is publicly documented through AWS, MongoDB, DEV.to, GitHub, and conference presentations:

Co-authored on the official AWS Industries Blog

• Co-authored reference architecture for connected vehicle digital twins using MongoDB Atlas and AWS building blocks.
• Focus: Digital Twins · Connected Vehicles · AWS · MongoDB Atlas · Amazon SageMaker · EventBridge · AWS Lambda

Co-authored MongoDB Reference Architecture

• Reference architecture demonstrating real-time fraud detection pipelines streaming MongoDB Atlas transactional data into Amazon SageMaker Canvas and S3.
• Focus: AI/ML · Fraud Detection · MongoDB Atlas · Amazon S3 · Amazon SageMaker · Event-Driven Architecture

I am open to Principal AI Architect, Cloud Solutions Architect, and Lead AI Engineering opportunities (Full-time / Contract / Remote / Hybrid).

• 💼 LinkedIn: linkedin.com/in/babusrinivasan
• ✍️ Technical Blog: dev.to/babuvenky76
• 💻 GitHub: github.com/babuvenky76