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You will get Bug fixing in PHP/Laravel/React/Node/Next.js/Express.js/Web Applications

Awais K.Status: Offline
Awais K. Awais K.
4.7
Top Rated

Let a pro handle the details

Buy Web Programming Bug Fixes services from Awais, priced and ready to go.
Awais K.Status: Offline
Awais K. Awais K.
4.7
Top Rated

Let a pro handle the details

Buy Web Programming Bug Fixes services from Awais, priced and ready to go.

Project details

Frustrated with bugs breaking your application?
Let an expert handle it quickly and efficiently!

With deep experience in both frontend and backend technologies, I specialize in identifying and resolving bugs in modern web applications—whether built in PHP, Laravel, React, Node.js, Next.js, or Express.js.


Services Offered:
✅ Debugging & Fixing PHP / Laravel Issues
✅ Resolving React & Next.js Frontend Bugs
✅ Node.js & Express.js Backend Troubleshooting
✅ Fixing Routing, API, and Middleware Errors
✅ UI/UX Bug Fixes for Responsive Design
✅ Database Errors & Query Optimization
✅ Session, Auth, and Security Fixes
✅ Performance Optimization & Code Cleanup
✅ Console/Build Error Troubleshooting
✅ Cross-Browser Compatibility Fixes

Technologies I Work With:
✅ PHP (Core & Laravel)
✅ JavaScript / ES6+
✅ React.js / Next.js
✅ Node.js / Express.js
✅ MySQL / MongoDB
✅ RESTful APIs / JSON
✅ Git, CLI, NPM/Yarn, Webpack

Why Choose Me?
⭐ Fast & Reliable Bug Resolution
⭐ Clean, Readable & Maintainable Code
⭐ Friendly Communication & Quick Turnaround
⭐ 100% Satisfaction
⭐Money-Back Guarantee

Need urgent help fixing issues in your app?
👉 Send me a message now and let’s get it fixed today!
Programming Languages
PHP, HTML & CSS, JavaScript
Coding Expertise
Cross Browser & Device Compatibility, Performance Optimization, Security
What's included
Service Tiers Starter
$99
Standard
$299
Advanced
$599
Delivery Time 3 days 5 days 10 days
Number of Revisions
35Unlimited
Bug Investigation
Fix Documentation
Detailed Code Comments

Frequently asked questions

4.7
10 reviews
80% Complete
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FT

Faiza T.
5.00
Aug 11, 2026
AI Engineer / Python AI Agent Developer for SaaS Product Awais did an excellent job on our AI-powered SaaS project. He demonstrated strong expertise in Python, AI agents, LLM integration, and automation workflows, while delivering a reliable and scalable solution. His ability to understand our requirements, solve technical challenges, and communicate clearly throughout the project made the entire process smooth. I highly recommend Awais for any AI engineering, Python, or AI agent development work.

JB

Jay B.
5.00
May 20, 2026
30 minute consultation

AT

Amtul Quddus T.
5.00
May 6, 2026
Python Developer (FastAPI + AI/ML Rag) Awais Khan is a highly skilled Python LLM/RAG developer who delivered the work efficiently with clean implementation and strong performance. He communicated well and completed everything on time.

HQ

Hatim Q.
5.00
Mar 29, 2026
Full-Stack AI Developer (Python, LLM, RAG, LangChain) – 2 Hours Great experience working with Awais Khan. He demonstrated strong expertise in Python, LLMs, RAG, and LangChain, quickly identifying and fixing issues in our React + FastAPI application. His ability to debug API flows and ensure smooth backend–frontend communication was impressive. Highly efficient, collaborative, and delivered exactly what was needed within a short timeframe. Highly recommended!

JA

Joy A.
5.00
Jan 29, 2026
Front-End Developer for Site Redesign Great communicator and got the job done! Thank you Awais, we look forward to working with you again!
Awais K.Status: Offline

About Awais

Awais K.Status: Offline
AI/ML Engineer | NLP | AI Agent Developer | RAG, LLM | Python
100% Job Success
4.7  (10 reviews)
Riyadh, Saudi Arabia - 3:47 am local time
Have an AI prototype that works in testing but falls short when you try to make it production-ready? I help turn those early ideas into reliable AI Agents, RAG systems, and LLM applications that work properly with your product, data, and workflows.

As an AI Engineer, I’ve helped build 100+ AI and automation systems that reduced manual workload by up to 60%, and I’ve delivered enterprise RAG systems that improved knowledge retrieval accuracy by 40–70%. My focus is not simply connecting an LLM to an API. It’s designing the architecture around it so the system performs reliably in the real world.

I start by understanding your workflow, data, APIs, users, and failure points, then design an AI architecture that is practical, maintainable, and ready to scale. I build AI agents with tool calling, memory, multi-step workflows, and API integrations; RAG pipelines for private company knowledge; and production-ready AI backends using Python and FastAPI.

My core AI stack includes Python, OpenAI, Claude, Gemini, LangChain, LlamaIndex, Retrieval-Augmented Generation (RAG), and vector databases such as Pinecone, Qdrant, and ChromaDB. For backend and infrastructure, I work with FastAPI, PostgreSQL, Redis, Docker, AWS, REST APIs, webhooks, and cloud-based deployments.

I also build AI-powered business automation using n8n, Make, and Zapier, connecting AI agents with CRMs, databases, APIs, and existing business workflows to reduce repetitive manual work.

Whether you’re starting with an AI idea, improving an existing prototype, or taking an AI product into production, I focus on building systems that are accurate, scalable, observable, and easy to maintain.

Working with me is straightforward: clear architecture first, focused implementation, regular progress updates, testing against real use cases, and deployment, not a half-finished prototype handed back to you.

If you have an AI Agent, RAG, LLM, automation, or Python project in mind, send me the details. I’ll review it and tell you what I would build, what I would avoid, and the fastest path to a reliable production system.

Steps for completing your project

After purchasing the project, send requirements so Awais can start the project.

Delivery time starts when Awais receives requirements from you.

Awais works on your project following the steps below.

Revisions may occur after the delivery date.

Steps to Get Started

Explain the bug clearly – what’s going wrong and where. Provide steps to reproduce the issue (if known). Grant access to your codebase (GitHub repo, ZIP, or credentials). (Optional) Share any error messages, logs, or screenshots.

Review the work, release payment, and leave feedback to Awais.