AI Development Services
Looking for an AI developer? I build production-ready AI solutions with LangChain, RAG systems, and multi-agent architectures. 7+ years of full-stack experience, 15+ projects delivered.
What I Build
From simple AI integrations to complex multi-agent systems — I deliver solutions that work in production.
LangChain Development
Build sophisticated AI workflows and chains using LangChain. From simple chatbots to complex multi-step reasoning systems with memory, tools, and external integrations.
- Custom chain architectures
- Tool and function calling
- Conversation memory systems
- Streaming responses
RAG Systems
Implement Retrieval Augmented Generation systems that combine your proprietary data with LLM capabilities. Perfect for knowledge bases, documentation assistants, and enterprise search.
- Vector database integration
- Semantic search optimization
- Document chunking strategies
- Hybrid search (semantic + keyword)
Multi-Agent Systems
Design and build systems where multiple AI agents collaborate to solve complex problems. Navigator, Planner, Executor, Validator — each agent specialized for its role.
- Agent orchestration
- Inter-agent communication
- Self-validation loops
- Automatic fallback patterns
LLM Integrations
Integrate multiple LLM providers (OpenAI, Anthropic, Google, local models) with unified interfaces and automatic failover for production reliability.
- OpenAI GPT-4 / GPT-4o
- Anthropic Claude
- Google Gemini
- Local models (Ollama, LMStudio)
Technologies I Use
Modern AI stack for building scalable, production-ready solutions
AI Projects
MealPlan AI Agent
AI-Powered Meal Planning
AI meal planning platform powered by LangGraph StateGraph for meal generation, RAG pipeline with Qdrant for semantic recipe retrieval, and Langfuse for full LLM observability. Structured output validation ensures dietary constraints are enforced across non-deterministic LLM outputs.
GovChime Analytics Platform
Government Contracts Intelligence
Architected AI pipeline for government contract data: automated data sanitization, contract opportunity matching, and description generation via LLM APIs. Structured output validation ensures consistent data quality across 70M+ rows. Full agentic development workflow with Claude Code, custom agent skills, and MCP integrations.
Formea AI Form Automation
Multi-Agent Chrome Extension for Intelligent Form Filling
Architected multi-agent system with 3 specialized agents (Planner, Navigator, Validator) orchestrated by an Executor with self-validation loops. LangChain integration supporting 8 LLM providers with automatic structured output fallback via Zod schemas. Built VBON Form Explorer agent for autonomous government form reverse-engineering using stable IDs and deterministic DOM diffing.
AI Development FAQ
What types of AI projects do you work on?
I specialize in production AI systems: chatbots with memory, RAG-powered knowledge bases, AI agents that can browse the web and fill forms, multi-agent systems for complex workflows, and LLM integrations into existing applications.
How long does it take to build an AI solution?
A simple chatbot with RAG can be production-ready in 2-4 weeks. More complex multi-agent systems typically take 6-12 weeks. I always start with a discovery phase to scope the project accurately.
Can you integrate AI into my existing application?
Yes, I regularly integrate AI capabilities into existing systems. Whether it's adding a conversational interface, implementing semantic search, or building an AI-powered feature — I can work with your existing tech stack.
What makes your AI solutions production-ready?
I focus on reliability: automatic fallbacks between LLM providers, comprehensive error handling, rate limiting, response validation, and proper logging. My solutions are built for real users, not just demos.
Ready to Build Your AI Solution?
Let's discuss how AI can transform your business. Free discovery call, no commitment.
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