Retrieval-Augmented Generation
Ground LLM responses in enterprise knowledge — documents, databases, APIs and internal systems — for relevant, contextual answers.
I combine 17+ years of software engineering with Generative AI to build secure, scalable products — from enterprise platforms to RAG-powered assistants and agentic workflows.

I’m an AI Engineer, Solution Architect and engineering leader focused on turning modern AI capabilities into useful, maintainable products — not isolated demos.
My background spans Node.js, React, Angular, React Native, SQL Server, MongoDB, AWS, Azure, real-time systems and enterprise architecture. Today I apply that foundation to LLM applications, retrieval, agents, automation and intelligent enterprise workflows.
At Claritus Management Consulting, I lead engineering delivery for US-based clients across laboratory operations and healthcare platforms.
AI becomes valuable when it understands your context, connects to your systems and behaves reliably.
Ground LLM responses in enterprise knowledge — documents, databases, APIs and internal systems — for relevant, contextual answers.
Tool-enabled agents that reason across APIs and business workflows to move from answers to actions.
Secure AI integration with existing applications, identity, data, observability and cloud infrastructure.
I approach AI with the same questions I ask of any production system: Is it useful? Measurable? Secure? Observable? Maintainable? What happens when it fails?
Enterprise software across healthcare, laboratory operations, live commerce and business platforms.
Centralized laboratory operations platform supporting workflows across a US food-safety laboratory network. Architecture and delivery spanning Angular, Node.js, Azure SQL, integrations, performance and operational reliability.
Healthcare management platform supporting patient and operational workflows with modular full-stack architecture.
Real-time short-video and commerce product with seller interaction, gamification, streaming and transactional workflows.
Applied GenAI work exploring AWS Bedrock, contextual enterprise assistance, retrieval and AI-enabled business workflows.
AI engineering, solution architecture and enterprise delivery for US-based clients. Leading full-stack systems, modernization and intelligent application initiatives.
Technology strategy and engineering leadership for short-video, gamification and live-commerce products.
Architected CRM and operational platforms integrating recharge, travel and financial-service workflows.
Built ERP, industrial-management and business applications across Node.js, React, MongoDB and PHP.
Product engineering, interactive web experiences and the foundation of a long career in software.
Broad enough to see the whole system. Deep enough to build the critical parts.
Generative AI · LLMs · RAG · AI Agents · Prompt Engineering · Embeddings · Vector Search · AWS Bedrock · Guardrails · Evaluation
Node.js · Express · REST APIs · Microservices · PHP · Redis · RabbitMQ · Kafka
React · Next.js · Angular · React Native · JavaScript · TypeScript
Microsoft SQL Server · MongoDB · MySQL · Mongoose · Sequelize
AWS · Azure · Docker · NGINX · IIS · CloudFront · S3 · PM2
Solution Architecture · System Design · Technical Leadership · Agile Delivery · Mentoring · Client Stakeholder Management
RAG connects language models with the knowledge your business actually runs on — turning generic intelligence into grounded, domain-specific experiences.
HAVE A COMPLEX PROBLEM?
Available for AI engineering, solution architecture, technical leadership and select consulting engagements.