LLM
integration.
LLM integration is connecting a large language model such as GPT, Claude or Gemini to an application so it can generate, analyze or transform content inside the product. I integrate LLMs with structured outputs, streaming, model routing and usage tracking.
I connect large language models to existing products — web apps, CRMs, internal tools and mobile backends — so AI features fit your data, your UI and your budget.
What I build
OpenAI API integration
GPT models for generation, extraction and chat.
Claude and Gemini
Alternative models for long documents, reasoning or multimodal input.
Streaming UIs
Token-by-token responses in your interface.
Usage and cost tracking
Per-user limits and spend reporting.
Problems I solve
- API keys exposed in frontend code
- Responses that can't be parsed reliably
- Bills growing with no per-customer visibility
Technologies I use
- OpenAI
- Claude
- Gemini
- DeepSeek
- Ollama
- Structured outputs
- Python
- TypeScript
Development process
- 01
Discovery
- 02
Architecture
- 03
Build
- 04
Test
- 05
Deploy
- 06
Iterate
Relevant projects
Technical approach
- →All model calls on the server, never the browser.
- →Schemas for every structured response.
- →One routing layer so models can be swapped by config.
Frequently asked questions
Can you add AI to my existing app without rebuilding it?
Yes — usually as a new server endpoint plus UI changes where the feature appears.
How long does a typical project take?
It depends on scope. A focused feature or fix can take days; a first production version of a product usually takes several weeks. I give a written estimate after a short discovery call.
Do you work with US companies?
Yes. I work remotely with startups and businesses across the United States and internationally, with overlapping working hours for calls and async updates in between.
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Ready to start
your project?
I work remotely with startups and businesses across the United States and internationally. Tell me what you're building and I'll reply with next steps.