You will get a production-readiness audit for your OpenAI or Claude integration
Rising Talent
Project details
AI features often succeed in demos and fail under production traffic. I audit existing OpenAI and Claude integrations to identify the problems that cause unreliable outputs, tool failures, regressions, excess latency, uncontrolled cost, and poor observability.
I am a senior software engineer with experience building AI-powered, multi-tenant SaaS systems and APIs for an AI model-evaluation platform. My production stack includes TypeScript, Node.js, NestJS, PostgreSQL, OpenAI, Claude, MCP, Vue, and Nuxt.
Your audit focuses on one clearly bounded AI workflow. You receive evidence-backed findings, severity and priority ratings, and an implementation-ready remediation plan. Higher tiers add an evaluation harness and tested fixes delivered as pull requests.
I work in small, verified increments and document assumptions before changing code. I do not need production secrets, and credentials should never be included in project requirements or ordinary messages.
I am a senior software engineer with experience building AI-powered, multi-tenant SaaS systems and APIs for an AI model-evaluation platform. My production stack includes TypeScript, Node.js, NestJS, PostgreSQL, OpenAI, Claude, MCP, Vue, and Nuxt.
Your audit focuses on one clearly bounded AI workflow. You receive evidence-backed findings, severity and priority ratings, and an implementation-ready remediation plan. Higher tiers add an evaluation harness and tested fixes delivered as pull requests.
I work in small, verified increments and document assumptions before changing code. I do not need production secrets, and credentials should never be included in project requirements or ordinary messages.
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$2,750
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 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 Kate
Senior Full-Stack TypeScript Engineer | AI Integrations, MCP, Claude
Rockville, United States - 12:38 pm local time
I'm a senior engineer on a multi-tenant SaaS platform serving 40+ white-label telecom brands. Every change I ship has to work for 40 different configurations at once. That taught me to test per client, design for tenancy from the first migration, and never trust a fix I have not run against real data.
Work I take on Upwork:
- AI and LLM integration. Claude or OpenAI API work, agent pipelines, RAG, structured extraction. I shipped my own AI SaaS end to end (gov-contracts-ai: Next.js, Anthropic API, MongoDB, deployed to production), so I know what breaks after the demo works.
- MCP servers. I have built Model Context Protocol servers that connect Claude to CRMs, billing systems, log search, and data warehouses, and I use them daily in production work.
- NestJS / Node APIs. New endpoints, TypeORM and Postgres schema work, third-party integrations over REST, GraphQL, and SFTP (billing and CRM systems included).
- Vue 3 / Nuxt 3 frontends. New features, migrations, Pinia state, SSR issues.
- Rescues. Broken deploys, failing integrations, "the last developer disappeared" projects. I diagnose before I quote.
I am US-based, I communicate in plain English, and I deliver in small verified increments with tests, not a big drop at the end. Fixed-price scopes get a written spec before I start so we both know what done means. Selected public projects are available through the GitHub link on my profile.
Steps for completing your project
After purchasing the project, send requirements so Kate can start the project.
Delivery time starts when Kate receives requirements from you.
Kate works on your project following the steps below.
Revisions may occur after the delivery date.
Scope and reproduce
Confirm the workflow boundary, inspect the supplied code and documentation, and reproduce representative behavior where possible.
Evaluate and diagnose
Review architecture, prompts, tool calls, validation, error handling, evaluation coverage, observability, latency, cost, and security risks.