Overview
From chat assistants and document intelligence to recommendation systems and process automation, I implement AI that solves real-world problems — not demos.
Ideal for
- Teams drowning in repetitive manual work
- Products that need smarter search or recommendations
- Teams exploring AI with a clear ROI path
How we deliver
Step 1
Use-case discovery and feasibility review
Step 2
Data readiness and model/API selection
Step 3
Prototype and evaluation
Step 4
Production integration and monitoring
Deliverables
- AI feature integrated into your product
- Prompt / model configuration
- Evaluation metrics and guardrails
- Ops notes for ongoing improvement
What you get
- Use-case discovery and feasibility
- Model and API integration
- Data pipelines and evaluation
- Production monitoring and iteration
Tools & technologies
OpenAI / LLMsPythonVector searchLangChainCustom APIs