I will design and optimize prompts for llms and ai apps


About this gig
Getting unpredictable, hallucinated or broken outputs from GPT-4, Claude or open-source LLMs? I engineer reliable system prompts and write clean Python code to integrate them directly into your app.
Whether you need accurate JSON output, strict schema validation with Pydantic or robust edge-case handling, I build production-ready prompt pipelines that don't break in production.
What I deliver:
- Custom system prompts: Tailored for classification, data extraction, text summarization or structured Q&A.
- Few-shot examples: Built-in examples to guide the model to output exactly what you expect every time.
- Strict output control: Reliable JSON formatting, structured schemas and Pydantic validation.
- Edge-case testing: Testing tricky inputs to ensure your prompt doesn't fail under real user traffic.
- API integration code: Clean Python wrappers for OpenAI, HuggingFace or Anthropic APIs (Standard and Premium tiers)
Why work with me?
- Production grade code: You get readable, well-structured Python integration code, not just a plain prompt copy-pasted into a chat window.
- No unnecessary frameworks: Lightweight, maintainable scripts that fit right into your existing backend without bloated overhead
Get to know Kaushalya
Turning Messy Data and Models into Production AI Solutions
- FromSri Lanka
- Member sinceJul 2026
Languages
Sinhala, English
Other AI Development Services I Offer
FAQ
What programming languages do you support for integration?
Primary support is Python (FastAPI, standard scripts and Pydantic validation). If you need raw JSON outputs or specific API payloads to consume in JavaScript/React, I can structure those as well.
Do you use frameworks like LangChain or LlamaIndex?
I focus on clean, native API integrations (OpenAI, HuggingFace, Anthropic) and Pydantic schema validation. This keeps your codebase lightweight, fast, and easy to maintain without extra framework abstractions.

