You will get an AI automation audit with a clear fix and implementation plan
Project details
If your AI agent, chatbot, n8n workflow, or API integration is unreliable, slow, expensive, or difficult to maintain, I will audit it and give you a clear plan to fix it.
I review prompts, data flow, RAG retrieval, API calls, webhooks, authentication, retries, duplicate events, error handling, logging, model usage, security, and deployment setup. You receive a prioritized findings report that separates urgent issues from later improvements, explains likely root causes, and recommends practical next steps.
This project is ideal before a rebuild, migration, major feature, or production launch. It is also useful when an existing automation fails unpredictably or costs more than expected.
The price covers analysis and a roadmap. Implementation is not included, but I can quote the fixes separately after the audit.
I review prompts, data flow, RAG retrieval, API calls, webhooks, authentication, retries, duplicate events, error handling, logging, model usage, security, and deployment setup. You receive a prioritized findings report that separates urgent issues from later improvements, explains likely root causes, and recommends practical next steps.
This project is ideal before a rebuild, migration, major feature, or production launch. It is also useful when an existing automation fails unpredictably or costs more than expected.
The price covers analysis and a roadmap. Implementation is not included, but I can quote the fixes separately after the audit.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Azure OpenAIAI Models
ChatGPT, GPT-4What's included $200
These options are included with the project scope.
$200
- Delivery Time 2 days
- Number of Revisions 1
- Model Documentation
- Model Testing & Optimization
- Prompt Engineering
Frequently asked questions
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UA
Umair A.
Nov 7, 2024
SEO Optimization for Home Decor Website
Aamir has shown a high level of professionalism and strong technical skills. He understood exactly what was needed to complete the job and executed it perfectly. I will definitely hire him again in future.
ML
Mikhail Faith L.
Aug 4, 2024
QA/Developer
About Aamir
AI Agent Developer | n8n Automation, RAG, OpenAI APIs & AWS
100%
Job Success
Swabi, Pakistan - 10:24 am local time
I build AI agents, RAG chatbots, n8n workflows, API integrations, and AWS deployments. My goal is simple: deliver a system that works with real data, handles failures properly, and is clear enough for your team to maintain.
I have a 100% Job Success Score, more than $20K earned, and over 2,970 hours on Upwork. My background includes full-stack development, QA, automation, and cloud deployment, so I can take a project from planning through testing and launch.
Clients usually hire me for:
• AI agents that can use tools, call APIs, search business data, and complete multi-step tasks
• RAG chatbots for documents, knowledge bases, customer support, and internal search
• OpenAI API integrations, prompt design, structured outputs, guardrails, logging, and human handoff
• n8n workflows for lead routing, CRM updates, email, reporting, scheduling, document processing, and data sync
• REST API and webhook integrations with authentication, retries, deduplication, and error handling
• Node.js, Express.js, Python, and TypeScript backend development
• React and Next.js dashboards for automation and internal tools
• AWS deployment, AWS Lambda, Docker, GitHub Actions, and CI/CD setup
• PostgreSQL, MongoDB, MySQL, and Supabase integrations
I am also happy to troubleshoot an existing system. That might mean fixing a broken n8n workflow, improving a chatbot that gives poor answers, cleaning up an API integration, or stabilizing a deployment.
Before I start coding, I look at the people using the system, the data it depends on, the tools it needs to connect with, and the problems that can occur. I prefer to build the smallest useful version first, test it with real inputs, and improve it based on what we learn.
I pay close attention to the parts that are easy to overlook: permissions, duplicate events, API limits, failed requests, retries, unclear data, security, monitoring, and documentation. These details are usually what separate a useful system from one that becomes difficult to maintain.
You can expect clear communication, practical technical decisions, regular progress updates, tested work, and documentation that your team can use after handoff. If I believe part of a process should stay manual, or that AI is not the right solution, I will say so.
I work well with startups, SaaS companies, agencies, and operations teams that need help across automation, APIs, application development, and cloud delivery.
Send me a short note with the tools you use, what is currently breaking or taking too much time, and what you want the finished workflow to do. I will tell you how I would approach it and what I would recommend as the first step.
Steps for completing your project
After purchasing the project, send requirements so Aamir can start the project.
Delivery time starts when Aamir receives requirements from you.
Aamir works on your project following the steps below.
Revisions may occur after the delivery date.
Review the current system and goals
I review the workflow, integrations, prompts, logs, data flow, failure points, and business requirements.
Test risks and identify root causes
I test the main failure paths and document reliability, security, data quality, integration, and maintainability risks.