I’m an AI Engineer and AI Consultant specializing in building practical, production-ready AI systems that solve real business problems—not just demos or prototypes.
I work across Agentic AI, LLM applications, RAG, AI automation, conversational AI, voice AI, and full-stack AI integrations. I help businesses turn an idea or manual workflow into a reliable AI-powered system, handling the process from discovery and technical scoping to architecture, development, integrations, deployment, evaluation, and ongoing support.
Some of the systems I’ve built include:
Autonomous AI agents for lead research, sales outreach, follow-ups, reply handling, and CRM management
RAG-based AI applications and personalized knowledge assistants
AI voice and WhatsApp representatives using real-time business data
Custom CRMs with AI lead qualification and automated scheduling
Executive AI systems that automate emails, tasks, reporting, and recurring workflows
Multi-agent systems with tool calling, memory, MCP, GraphRAG, guardrails, and human approval workflows
AI-powered marketing and content automation systems
My core technical stack includes Python, FastAPI, LangChain, LangGraph, CrewAI, OpenAI, Anthropic, Gemini, AWS Bedrock, Vertex AI, RAG, vector databases, PostgreSQL/MongoDB/Redis, Docker, n8n, Vapi, Twilio, ElevenLabs, MCP, and modern APIs.
I also care about what happens after the prototype—evaluation, observability, latency, cost, reliability, security, fallbacks, and maintainability. I use tools and practices such as DeepEval, RAGAS, LangSmith, LLM-as-a-Judge, tracing, guardrails, authentication, and human-in-the-loop controls where appropriate.
If you have a business problem, an existing AI system that needs improvement, or an idea that needs to be taken from concept → production, I can help you design and build it end-to-end.
I’m available for both one-time projects and long-term AI engineering/consulting engagements.
