You will get a reliable fix for your existing AI API integration

Project details
Your AI feature already works—except when it does not. Requests time out, tool calls disappear, provider payloads drift, sessions route inconsistently, or a small change breaks a path that looked stable in testing.
I will isolate the failure, identify the smallest reliable correction, and—depending on the package—implement it with focused regression coverage and documentation. I work across model APIs, OpenAI-compatible gateways, Python, Go, TypeScript, Node.js, and full-stack integrations.
My relevant open-source work includes merged improvements to an AI API gateway for session-affinity routing, identifier validation, regression coverage, and Gemini tool translation. The goal here is equally practical: a clearly scoped integration path, evidence for the root cause, and a result your team can maintain.
This service is for an existing integration with a concrete failure or reliability risk. It is not a generic chatbot build, no-code automation package, or open-ended architecture engagement.
I will isolate the failure, identify the smallest reliable correction, and—depending on the package—implement it with focused regression coverage and documentation. I work across model APIs, OpenAI-compatible gateways, Python, Go, TypeScript, Node.js, and full-stack integrations.
My relevant open-source work includes merged improvements to an AI API gateway for session-affinity routing, identifier validation, regression coverage, and Gemini tool translation. The goal here is equally practical: a clearly scoped integration path, evidence for the root cause, and a result your team can maintain.
This service is for an existing integration with a concrete failure or reliability risk. It is not a generic chatbot build, no-code automation package, or open-ended architecture engagement.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AIOps, Conversational AIAI Development Language
PythonAI Models
ChatGPT, GPT-4, OpenAI CodexWhat's included
| Service Tiers |
Starter
$250
|
Standard
$650
|
Advanced
$1,250
|
|---|---|---|---|
| Delivery Time | 2 days | 5 days | 10 days |
Number of Revisions | 1 | 1 | 1 |
AI Model Integration | - | ||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | ||
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | ||
Source Code | - |
Frequently asked questions
About Kevin
AI Integration & Automation Engineer | Full-Stack Web Developer
Eastvale, United States - 6:21 am local time
I can help with:
• LLM and API integrations
• AI agents and workflow automation
• Python, Go, and TypeScript backend services
• Full-stack web applications and internal tools
• Integration debugging, regression testing, and reliability hardening
Recent work includes three merged contributions to open-source AI API routing tools, an automated optimization pipeline whose successor improved 13 of 21 frozen cases and tied the remaining 8, a merged AI desktop compatibility fix validated by 62 passing tests, and five merged reliability fixes to a Python medical-imaging library.
Send me the API, workflow, or product bottleneck. I’ll turn it into a scoped implementation with clear acceptance criteria, tested code, and maintainable documentation.
Steps for completing your project
After purchasing the project, send requirements so Kevin can start the project.
Delivery time starts when Kevin receives requirements from you.
Kevin works on your project following the steps below.
Revisions may occur after the delivery date.
Scope lock
Confirm the failure or integration path, evidence, exclusions, and acceptance criterion.
Reproduce and diagnose
Recreate the behavior, trace the request path, and document the evidence-backed root cause.