I will optimize your ai costs and reliability
About this Gig
Running AI in production can become expensive, unpredictable and difficult to monitor.
I help companies optimize existing AI applications for lower costs, better reliability and more predictable output.
Depending on your package, I can improve:
- AI token and API costs
- Model selection and routing
- Prompt and context efficiency
- RAG retrieval and context quality
- Caching strategies
- Evaluations and regression testing
- AI observability and tracing
- Fallbacks, retries and structured outputs
- Production configuration and deployment flows
My focus is not just changing prompts. I look at the complete AI production flow and identify where cost, latency or reliability can be improved.
You receive practical improvements implemented in your existing application, plus clear documentation of what was changed.
For larger migrations between AI providers, vector databases or infrastructure stacks, please check my other gigs or contact me so we can find the best fit for your project.
Tools:
Docker
•
GitHub
•
Cloud Formation
•
Hashicorp Vault
•
Supabase
Framework:
Npm
•
Terraform
Programming language:
C
•
Java
•
JavaScript
•
PHP
•
Python
•
Ruby
•
Golang
Expertise:
Installation
•
Migration
•
Configuration
Other DevOps Engineering Services I Offer
FAQ
Do you work with existing AI applications?
Yes. This Gig is primarily focused on improving existing AI applications that are already in development or production.
Which AI providers do you support?
I can work with common providers such as OpenAI, Anthropic, Google Gemini, Azure OpenAI and other API-based LLM platforms.
Can you reduce my AI or token costs?
In many cases, yes. I analyze model usage, prompts, context size, caching, retrieval, routing and other parts of your AI flow to identify unnecessary cost.
Do you also optimize RAG systems?
Yes. I can review retrieval quality, chunking, context selection, embeddings, reranking and how retrieved information is passed to the model.
Can you improve AI reliability and reduce incorrect outputs?
Yes. Depending on the project, I can implement evaluations, regression tests, retries, fallbacks, structured outputs, validation and observability.
Do you guarantee a specific percentage of cost savings?
No. Every application is different. I focus on measurable improvements, but I do not promise an artificial fixed percentage before reviewing the actual architecture and usage.
Do you provide source code and documentation?
Yes. Any changes I implement are delivered with the relevant source code and documentation included in your package.
Can you migrate my complete AI stack?
Large migrations are usually better handled as a separate project. Please check my other Gigs or contact me first so we can determine the best approach and scope.
What do you need from me to get started?
Usually I need access to the relevant repository, an overview of your current AI architecture, the main problems you want to solve and, where available, usage or cost data.
Is my source code and company data kept confidential?
Yes. I treat client code, credentials, architecture and business information as confidential and only use access required to complete the agreed work.

