AI/ML Architect | Multi-Cloud AI Systems | Document Intelligence | Enterprise Solutions

AI/ML Architecture & GenAI Platforms
Design and deployment of enterprise-scale AI platforms using LangChain, LangGraph, Azure OpenAI, Graph RAG, and Neo4j. Expertise in building multi-tenant GenAI platforms with LLM capabilities, RAG architectures, and responsible AI governance including prompt guardrails and evaluation frameworks (RAGAS).

Knowledge Graphs & Semantic Retrieval
Development of Knowledge Graph solutions using Neo4j and ontology-driven modeling principles, enabling entity relationships, multi-hop reasoning, and temporal knowledge representation. Application of Graph RAG, hybrid retrieval, and semantic caching for intelligent enterprise search and knowledge discovery.

Multi-Cloud Infrastructure & DevOps/MLOps
Architecture of scalable multi-cloud platforms on Azure, AWS, and GCP using Kubernetes, Terraform, and Ansible. Implementation of CI/CD and MLOps pipelines with automated testing, security validation, deployment governance, and production observability using Prometheus, Grafana, and MLflow.

Agentic AI & Multi-Agent Orchestration
Implementation of agentic AI workflows using frameworks such as AutoGen, CrewAI, and Semantic Kernel. Design of multi-agent orchestration patterns including Tool-Use (ReAct, Plan-and-Execute) and Human-in-the-Loop approaches for autonomous enterprise AI systems.

ETL/ELT Pipelines & Data Engineering
Design and governance of ETL/ELT architectures supporting knowledge-driven AI applications. Building end-to-end data pipelines for ML workflows including ingestion, transformation, feature generation, and integration with enterprise data lakes, warehouses, and APIs.

CI/CD Pipeline Automation
Design and implementation of self-healing, fully automated CI/CD pipelines with intelligent build orchestration, automated test triage, and dynamic environment provisioning. Integration of policy-as-code guardrails for compliance validation, reducing deployment failures by 60% and MTTR by 45%.

LLM Fine-Tuning & Evaluation
Hands-on experience with LLM fine-tuning, ontology design, entity extraction, and agent memory and planning. Use of evaluation frameworks such as RAGAS to ensure production-grade model quality, traceability, and compliance readiness.

Intelligent Document Processing
Architecture of enterprise IDP platforms for contract review, invoice extraction, and regulatory analysis for BFSI and legal/healthcare compliance. Use of Graph RAG with Neo4j and vector search for multi-hop reasoning with reduced hallucinations, enabling 60% improvement in compliance efficacy.

DevSecOps & Platform Engineering
Implementation of DevSecOps practices including security validation, automated testing, and Infrastructure-as-Code using Terraform, Ansible, and GitHub Actions. Mentoring engineering teams on cloud-native architecture, AI platform engineering, and enterprise architecture best practices.