Srinivas - AI Architect & Knowledge Graph Architect

Executive Summary

Senior Architect with 20+ years of expertise designing enterprise-scale data platforms, distributed services, Cloud solutions, and AI-driven knowledge systems. Deep hands-on proficiency in building backend architectures blending Knowledge Graphs, Semantic Technologies (RDF, SPARQL, R2RML), Labelled Property Graphs (Neo4j), Relational Databases, Microsoft Foundry, Azure AI Search, Cosmos DB Vector Store, and High-Throughput REST APIs.

Specialized in Agentic AI Architecture, multi-agent topologies, deterministic orchestration frameworks, predictive LLM agents, and tool registry architectures. Experienced in building enterprise AI platforms where deterministic orchestration layers coordinate predictive agents to deliver scalable, governed automation using Amazon Bedrock, Azure AI Foundry, and Azure OpenAI.

Practicing the Zero-Copy / Data Federation architecture pattern to eliminate storage duplication and optimize infrastructure costs.

Core Architecture Capabilities

Agentic AI Architecture

Designs enterprise multi-agent architectures including topology, orchestration patterns, planner/executor models, supervisor agents, and specialized AI workers. Integrates deterministic workflow engines with predictive LLM agents for controlled execution, memory management, and human-in-the-loop governance.

Prompt & Agentic Engineering

Architected and built greenfield applications using OpenCode, GitHub Copilot, and Claude Code, leveraging custom SKILL.md definitions to establish reusable agent workflows for planning, code generation, debugging, and iterative development.

Enterprise AI & LLM Platforms

Architects Generative AI solutions using Microsoft Foundry, Azure AI Search, Amazon Bedrock, Bedrock AgentCore, LangChain, and LlamaIndex. Expertise in foundation model integration, RAG architectures, AI copilots, enterprise knowledge integration, and prompt engineering.

Agent Infrastructure & Security

Designs agent ecosystems with tool registries, function calling frameworks, and standardized contracts for secure enterprise capability invocation. Implements external agent authentication, authorization models, API contracts, identity management, and governance.

Cloud & Distributed Systems

Extensive experience designing scalable cloud-native architectures using AWS and Azure. Expertise includes microservices, distributed systems, event-driven architecture, API platforms, Domain-Driven Design (DDD), DevSecOps, and high availability.

Knowledge Graphs & Semantics

RDF, OWL, SKOS, SPARQL querying & performance tuning, ontology-based data mapping, R2RML transformation workflows. Schema optimization across MSSQL Server, Stardog, Neo4j, and Azure Cosmos DB Vector Stores.

Technical Stack

Semantic Technologies

RDF RDFS OWL SKOS SPARQL R2RML

Databases & Search

Neo4j Stardog MS SQL Server Azure Cosmos DB Elasticsearch Amazon OpenSearch

Programming & Frameworks

Python C# TypeScript FastAPI .NET Core LangChain LlamaIndex

AI Tooling & Agents

AWS Bedrock Bedrock AgentCore Azure AI Foundry GitHub Copilot Claude Code OpenCode

Infrastructure & Cloud

Docker Kubernetes AWS (ECS, Lambda, S3, RDS, Neptune) Azure AI Search CI/CD Pipelines

Architecture Experience

AI Solution Architect

Recent Architecture Experience

Architected scalable backend data infrastructure and multi-modal knowledge platforms integrating Knowledge Graphs, Vector Stores, and relational databases to power AI-driven document intelligence and RAG architectures.
Developed an ontology-driven knowledge representation system to model, organize, and establish semantic relationships among domain-specific concepts.
Designed and implemented data ingestion pipelines, automated mapping/transformation workflows, and optimized database queries for high-volume enterprise data systems.
Integrated semantic search and retrieval strategies leveraging Elasticsearch and Azure Cosmos DB Vector Database to enhance semantic retrieval pipelines.
Architected secure, production-grade REST APIs and microservices for internal application consumers using Python and cloud-native services.
Ensured robust data governance, access controls, and secure handling of sensitive enterprise data (PII/PHI) across multi-tenant environments.
Owned containerization, deployment, and monitoring of graph and backend services using Docker, Kubernetes, and AWS infrastructure.

Technical Architect

Enterprise Platform Experience

Designed and delivered large-scale enterprise backend platforms across Financial Services and Government domains using microservices, event-driven architectures, Kafka, and robust relational database schemas.
Led architecture for high-volume financial data processing engines, ensuring transactional integrity, high availability, and efficient indexing strategies across relational persistence layers.
Modernized legacy platforms into cloud-native API ecosystems with high-throughput data distribution, rigorous data validation, and automated integration pipelines.

Consultant / Technical Lead

Enterprise Integration Experience

Designed enterprise service architectures, Entity Framework/relational database models, REST APIs, and middleware integration layers for a large-scale healthcare benefits platform.
Delivered enterprise finance and engagement management systems.

Lead Developer / Senior Software Engineer

Earlier Career Experience

Delivered enterprise finance, engagement management, healthcare, logistics, and manufacturing software solutions.
Developed software solutions across multiple industry sectors handling complex business processes and integration requirements.

Industry Domain Expertise

💳 Financial Services

🏛️ Government

🏥 Healthcare

🛡️ Insurance

📈 Investment Management

🚚 Logistics

🏭 Manufacturing

💻 Enterprise Technology