AI & LLM Integration for Business Workflows

I add AI to real products where it saves time, and keep it cost-controlled and reviewable. That means document extraction pipelines, content generation with human review, and token tracking so inference costs stay predictable.

Discuss your project Toptal profile

What I deliver

  • Document extraction pipelines using OCR plus LLMs (OpenAI, Google Gemini, Anthropic)
  • Prompt design and optimization for consistent, structured output
  • Context management, caching, and token tracking to control cost
  • Content research and publishing workflows with human-in-the-loop review
  • Integration into existing Django and WordPress systems

When to hire me

  • You have a manual document or content workflow that an LLM could speed up.
  • A prototype works but inference costs or accuracy are not production-ready.
  • You want AI added to an existing product without a rewrite.

Relevant work

Data Science & NLP

Interest Miner

Academic Research & Topic Correlation Analytics

Engineered full data pipeline from API extraction to interactive visualization.

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Frequently asked questions

Which models and providers do you use?

OpenAI, Google Gemini, and Anthropic APIs. The choice depends on accuracy, latency, and cost for your task.

How do you keep LLM costs under control?

By reusing context, caching deterministic results, tracking tokens per workflow, and using smaller models where quality allows.

How do you handle accuracy?

Pipelines include validation and human-in-the-loop review for steps where errors are costly.

Let's talk about your project

Email a few lines on your goals, stack, and timeline. I reply within 24 hours.

Email aakashjsr@gmail.com