I will reduce your openai and llm API costs and token usage
About this gig
Are your OpenAI, Anthropic or LLM API bills climbing every month? I help startups and founders cut AI costs by 40 to 60 percent without hurting output quality.
WHAT I DO:
- Audit your current usage, prompts and API calls to find the waste
- - Model routing so easy queries hit cheap models and only hard ones hit premium
- - Semantic and prompt caching to stop paying for repeated calls
- - Prompt and context trimming to cut tokens per request
- - Smarter batching, streaming and cheaper or open-source model swaps
- - A clear before and after token report proving the savings
Every order includes an actionable report, and implementation packages include working code and a short guide. Share your stack and monthly spend and I will estimate what you can save.
Get to know Avtar S
Senior Backend and Cloud Engineer, Python, AWS, APIs, Automation
- FromIndia
- Member sinceApr 2026
- Avg. response time1 hour
Languages
Hindi, Punjabi, English
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FAQ
How much can you actually save me?
Most clients see 40 to 60 percent lower bills. I quantify the exact savings in a before and after report before and after the work.
Will cutting cost hurt my output quality?
No. I benchmark responses before and after so quality stays the same or better while cost drops. Anything risky is opt-in.
Can you run open-source models on my own servers instead of paying per API call?
Yes. For high-volume or data-private workloads I can deploy and maintain open-source models (Llama, Mistral, Qwen) on your own servers, so you stop paying per query. I always model the break-even first, so self-hosting only happens when it genuinely saves you money.

