Full-Stack Agentic AI Development
From strategy to deployment. From prototype to production. Here's exactly what I bring to the table.
Agentic AI Architecture
Designing AI systems that operate autonomously across multi-step workflows.
What I Build
- •Task orchestration agents
- •Decision-making pipelines
- •Self-correcting automation loops
- •Human-in-the-loop escalation systems
Why It Matters
You get AI that handles the full job — not just one step.
LLM Integration & Optimization
Connecting large language models to your business logic and data.
What I Build
- •Custom RAG (Retrieval Augmented Generation) systems
- •Fine-tuned models for domain-specific tasks
- •Prompt engineering pipelines
- •Multi-model orchestration (Claude + GPT + open-source)
Why It Matters
Your AI understands YOUR business, not just the internet.
AI Workflow Automation
Replacing fragile Zapier/Make automations with intelligent agents.
What I Build
- •End-to-end process automation
- •Document processing pipelines
- •Email/communication agents
- •Data extraction and transformation systems
Why It Matters
Automations that adapt, not just execute.
AI Product Development
Building AI-powered products from concept to launch.
What I Build
- •SaaS products with embedded AI
- •Internal tools with AI capabilities
- •Customer-facing AI features
- •MVPs for AI startup ideas
Why It Matters
You get a product, not a prototype.
Tech Stack
The tools I use to build production-ready AI systems
Frontend
- Next.js
- React
- TypeScript
- Tailwind CSS
Backend
- Python/FastAPI
- Node.js
- Supabase
- PostgreSQL
- Redis
AI Layer
- OpenAI API
- Claude API
- LangChain
- LlamaIndex
- Vector DBs
See These Skills in Action
Try the live AI agents I've built to demonstrate these capabilities.
Explore AI Agents