Python Developer - Debug and Improve AI Agent Automation Platform

@ZohaibRoy

⭐⭐⭐⭐⭐ Improve Your AI Automation Platform with Expert Python Development ❇️ Hi My Friend, I hope you are doing well. I reviewed your project needs and see you are looking for an experienced Python developer. You don’t need to look any further; Zohaib is here to help you! My team has completed 50+ similar projects focusing on Python development. I will analyze your agent workflow code, identify bugs, and suggest improvements efficiently, all while staying within your budget. ➡️ Why Me? I can easily handle your project as I have 5 years of experience in Python development, especially with FastAPI, Celery, and async programming. My expertise includes debugging, code optimization, and working with databases. Additionally, I have a strong grip on Docker and PostgreSQL, which are essential for your platform. ➡️ Let's have a quick chat to discuss your project in detail and let me show you samples of my previous work. I look forward to discussing this with you in our chat. ➡️ Skills & Experience: ✅ Python Development ✅ FastAPI ✅ Celery ✅ Async Programming ✅ Debugging ✅ Code Review ✅ Database Management ✅ Docker ✅ AI Frameworks ✅ Performance Optimization ✅ Communication Skills ✅ Problem Solving Waiting for your response! Best Regards, Zohaib

@corpmember29

Hello, Python & AI Automation Developer {{{ I HAVE CREATED SIMILAR BEFORE AND I CAN SHOW YOU }}} I have carefully reviewed your requirements for debugging and improving an existing production AI automation platform built with Python, FastAPI, Celery, PostgreSQL and Docker. I have 11+ years of software development experience with Python, FastAPI, asynchronous workflows, REST APIs, PostgreSQL and Docker. I am also experienced with AI agent workflows, LLM integrations, tool calling and automation logic, so I can investigate both conventional backend issues and agent-specific workflow problems. For the paid test task, I will first understand the module and its dependencies, reproduce the reported behavior, identify the actual root cause and implement a clean, focused patch without introducing unnecessary changes. I will also check error handling, async behavior, task execution, database interactions and edge cases where relevant. I will provide the working patch along with a concise explanation of the issue, changes made and validation performed. If the collaboration is successful, I can continue supporting your production platform with debugging, optimization and new AI-agent functionality. I WILL PROVIDE 2 YEARS OF FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE. I can start immediately and am comfortable working remotely with Git-based development and clear English communication. Thanks, Christina

@malika335

Hi there! Debugging and improving production-grade, asynchronous Python multi-agent workflows built with FastAPI, Celery, PostgreSQL, and Docker is right in my wheelhouse. I regularly develop advanced Python automation scripts, web scrapers, and backend pipelines, so feel free to check my profile portfolio. Before we get started, does the isolated test module primarily involve optimizing asynchronous Celery task execution, or handling LLM tool-calling logic and PostgreSQL data persistence? Once you share the details, I can map out everything cleanly and deliver the working patch and explanation step-by-step. Looking forward to working together! Best regards, Ahmad Hassan

@mubeenm5026

Hi, You need a Python developer to debug and improve a production AI automation module built with FastAPI, Celery, PostgreSQL, and Docker. For your project, our team will: • Review the isolated module for logic bugs, async issues, and workflow failures in FastAPI and Python. • Trace Celery task behavior, retries, and queue handling to spot production-impacting problems. • Improve the module with clean fixes that support AI Automation and reliable API Development. • Return a working patch with a short, clear explanation of each change. • Validate the patch against the shared code path so it fits your existing platform. We work with Python, FastAPI, API Development, and AI Automation on production systems where async behavior and background jobs must stay stable. Our team has handled API-driven platforms and automation modules that depend on clean task execution and dependable integrations. I'd be happy to discuss the details and answer any questions before we get started. Looking forward to working with you. Best regards, Mubeen Web Crest

@asifalimzd

Hi there, I have experience working with Python backend systems and can review, debug, and improve your FastAPI/Celery-based workflow with a focus on async execution, reliability, and clean maintainable code. I’m also familiar with AI/LLM integrations and agent-style workflows, including tool-calling patterns. I’m comfortable starting with the paid test task, reviewing the isolated module, identifying issues, and delivering a tested working patch with a concise explanation of the changes. Kindly send me a message to discuss more or directly award me. Thank you!

@shadabkhan92

My name is MOHD SADAB, and when it comes to AI development, scalability, efficiency, and dependability are always at the top of my priority list. I have extensive experience with Python that extends to FastAPI, Celery, and asyncio - key aspects that directly align with your project requirements. From building autonomous agents to integrating LLM tools and fostering predictive ML models, I've dealt with the intricacies that an advanced AI infrastructure requires at every stage from development to deployment. Moreover, my proven proficiency with Docker, PostgreSQL, and diverse cloud platforms such as AWS, GCP, and Azure mirrors your production environment. This means smoother collaboration and a minimized learning curve for me as I dive into your existing codebase for debugging and improvement purposes. My hardware knowledge in PCB design and firmware programming could contribute to any future expansion plans encapsulating IoT. Building AI systems is not simply about generating ideas; it entails making them work in real-world scenarios - something our expertise resonates with. Let's conduct this paid test task to showcase how effectively I can review your code module, identify drawbacks or bugs, and deliver efficient solutions while ensuring transparent communication throughout our engagement. I'm eager to blend my abilities with your vision for a more robust automation platform that empowers small businesses in Saudi Arabia efficiently.

@denisSolution

Hi, I'm Denis, a Python developer who has worked on multi-agent systems, API backends, and task queues in production environments. I understand you need help debugging and improving parts of your AI agent automation platform. The test task makes sense—it's a practical way to assess fit for ongoing work. I've worked with FastAPI and Celery in async Python setups, handling agent workflows and task orchestration, so the tech stack is familiar. For the test module, I'll start by reviewing the code structure, tracing the data flow between agents, API calls, and task queues, then identify inefficiencies or bugs. After that, I'll implement a fix while keeping the changes minimal and maintainable, ensuring no regression in performance or reliability. One thing to watch for is how agent interactions handle errors—especially retries and state consistency—since that often causes issues in distributed workflows. I can start working right away. Let's connect and discuss the details. Thanks, Denis.

@topcreator100

Hello, I am a highly skilled and customer-focused Python developer with a solid background in Computer Science. My portfolio includes developing custom web and mobile applications, building RESTful APIs, and conducting code reviews, all skills that directly relate to your project needs. I am comfortable with your entire tech stack including Python, FastAPI, Celery, Docker and PostgreSQL. My passion for clean code and on-time delivery aligns well with your vision of a high-performance AI automation platform. Apart from my technical prowess, my ability to translate business needs into robust technical solutions has brought great success to my previous clients. I am always conscious of performance benchmarking and optimization at scale, an understanding that reflects in the work I deliver. Working methodically is my priority; we will deliberate on scope, milestones, and targets upfront ensuring that our iterative delivery aligns exactly with your expectations. In conclusion, if you need a meticulous problem solver who can comfortably handle the complexities of your AI automation program while keeping things straightforward and enjoyable for you on the way, I am your guy! Thanks!

@DeveloperStation

Hi, I build agent workflows on this exact stack. Recently I set up a secure CI pipeline with deterministic data ingestion and Docker, so I know the kind of race conditions and retry bugs that show up in Celery task chains. Secure CI Pipeline & Deterministic Ingestion: 5 star client review, Docker based On the patch itself, one thing I always check first with async FastAPI plus Celery is whether blocking calls are leaking into the event loop, since that quietly breaks concurrency and looks like a random bug. I've also built LLM tool-calling flows with the OpenAI API in production, like an AI chatbot that answers from PDF manuals. AI Chatbot for University Portal: OpenAI powered support bot Happy to start on the test module. One question: is the module async or sync Celery workers? Adil

@gotucat

Hi, I reviewed your task: you’ll share a small Python module, and I’ll debug and improve the AI agent workflow code by delivering a working patch with a clear explanation. Using FastAPI and Python API development patterns, I’ll inspect the async execution paths, identify Celery integration issues, and verify PostgreSQL interactions for correctness and reliability. I’ll also tighten any LLM tool-calling style logic in the module so the automation behaves deterministically in production. I focus on clean, testable changes, fast feedback in English, and easy management of the patch. Let’s discuss here now.

@muneeb6767

I have 3+ years of experience with Python, FastAPI, async Python, and backend automation, with hands-on experience in AI workflows and LLM integrations. I can review your module, identify issues, and deliver a clean working patch with clear explanations

@ImranAli01

Hi, I got that you are looking for an experienced Python developer to review, debug, and improve parts of your agent workflow code for the AI automation platform. This is what I can help you with, let's chat. My approach is to meticulously review the Python code using FastAPI, Celery, and async Python to identify and fix bugs efficiently. Leveraging my experience in AI agent frameworks, I will optimize the workflow to enhance performance. The outcome will be a streamlined agent workflow with improved efficiency and functionality. I will ensure all enhancements align with your platform's objectives and seamlessly integrate with the existing system. As final deliverables, you will receive a detailed report outlining identified bugs, proposed improvements, and a working patch with a concise explanation for each modification. One thing I'd like to confirm before we start: Do you have any specific requirements for the patch submission process? Looking forward to discussing this further. Regards, Imran

@Muhammadzeesha59

Hello Sir/MAM I am a Skilled Full Stack Developer. Having rich experience in Java , C++ , C , C# , Python , Eclipse , Sql , Mysql , .Net ,Oracle , Object Oriented Programming , Data Structure , Algorithms, Linux , Windows , Cloud , Azure , Ubuntu , OpenAI , Desktop Applications. Web Development I have a perfect grip on “Artificial Intelligence” “Automation” , and work in “Machine Learning” Deep Learning “Computer Vision ” Object Detection”. My track record as demonstrated in my 100% job completion and 5-star review rating showcases My ability to deliver exceptional results on time and with utmost quality I believe that my skill set makes me the ideal candidate for this project Please come on chat we will discuss more about this I will be waiting for your reply . Thanks and Best Regards

@mahads31

As an experienced Python developer with a specialized focus on API Development, I am uniquely positioned to meet and exceed your needs for this project. From the extensive list of technologies and skills you have mentioned, I have deep expertise in Python, FastAPI, Celery, PostgreSQL, and Docker. Additionally, my experience in using AI Automation tools like LLM for calls will surely be advantageous in tackling the challenges your project presents. Throughout my career, I have built long-term technology partnerships with start-ups and established businesses just like yours. No matter the complexity of the problem at hand, I possess a talent for transforming ideas into not just efficient digital products but also highly scalable ones designed for lasting success - ensuring that your platform continues to function optimally even as your business grows. In conclusion, my high-stakes approach focused on clarity and strategy combined with my exposure to distributed computing systems such as Celery makes me the ideal candidate for debugging and improving your agent workflow code. My bid, however is not without substance: it comes with a PAID TEST TASK that will let us evaluate our fit before discussing an ongoing engagement. You can trust me to deliver a genuinely working patch along with conclusive explanations ASAP.

@sf264

Hello, I would love to help you in reviewing, debugging, and improving parts of your agent workflow code. Leave me a message to discuss more details. I am looking forward to working with you, Fahad.

@ykarora26

With hands-on experience in Python, FastAPI, and Celery, I am well-equipped to help enhance your agent workflow code. Would love to dive into the module you'll share to identify areas for improvement. How do you prefer to handle feedback on the submitted patch? Regards, Yogesh Kumar

@johnallenvillan1

Hi there, Your FastAPI/Celery agent workflow is exactly the kind of production code I debug every week. I’ve spent the last 4 years solving this type of problem, and I’ve also delivered fixes for a FastAPI background-job pipeline and a Python async service that was failing under load. The real risk here is not the obvious bug; it’s hidden state, task retries, and async boundaries inside a multi-agent flow. In systems like this, one small race condition or serialization issue can quietly break tool-calling across the whole chain. I’ll review the isolated module, trace the execution path, reproduce the issue locally, and patch the code with minimal impact. Then I’ll verify the fix with focused tests and give you a short, clear explanation of what changed and why. I’ll keep the patch clean, isolated, and easy to merge into your Docker-based setup. Best regards, John allen.

@albertc1996

The main risk here is usually not the bug itself, but the async workflow around it: task retries, race conditions, and weak error handling can make a small issue look intermittent and hard to reproduce. I can review the isolated module, trace the actual failure path, and patch it cleanly in your FastAPI/Celery stack. I work with Python, FastAPI, async code, Redis-backed job queues, and production debugging. For agent-style workflows, I pay close attention to idempotency, tool-calling boundaries, logging, and how background tasks fail under real load. My approach is to inspect the module in isolation first, identify the root cause small hard deliver a focused patch with a short explanation of what changed and why. I can also suggest small hardening improvements if I see a reliability issue that is worth fixing now. Do you want the review to focus only on the bug, or should I include nearby improvements that reduce future failures too?

@tyronet2

You need a careful review of an isolated production agent module, with the result delivered as a tested patch rather than a high-level code critique. At Marin Software, I built Python and LangChain agent pipelines using async processing, API integrations, structured tool-calling, and real-time background jobs. I’m comfortable with FastAPI, Celery, PostgreSQL, Docker, task retries, idempotency, concurrency issues, database transactions, and failure tracing across workers. For the paid test, I’ll reproduce the current behaviour, inspect workflow state and async boundaries, identify the root causes, implement the smallest safe changes, and add or update tests where appropriate. I’ll submit clean code with a concise explanation of each issue, its impact, and why the patch fixes it without disrupting other agents. I communicate clearly in English and can complete a small isolated module within 1–2 days. What is the approximate module size, and does the repository already include automated tests and a Docker development setup?