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Kamran Code

AI Application Development

Practical AI application development: language-model features, retrieval systems, agents and automation wired into your real data and workflows.

Useful AI is an engineering problem more than a model problem. The model is one component; the value comes from the application layer around it — retrieval over your data, tools it can call, validation of what it returns and the workflow it sits inside.

I build AI applications end to end: from choosing where AI genuinely helps, through prompt and retrieval design, to evaluation, cost control, deployment and monitoring.

  • Knowledge assistants grounded in internal documents
  • Document extraction and classification pipelines
  • AI-assisted support, triage and drafting
  • Agents that complete multi-step tasks against your APIs
  1. 01AI feasibility and architecture assessment
  2. 02Retrieval pipeline and data preparation
  3. 03Application with evaluation and guardrails
  4. 04Deployment with observability and cost tracking

Turn an AI idea into working software.

From retrieval and agents to document intelligence, I build AI systems that plug into real business data and workflows.