You will get Bug fixing in React | Node | Vue | Angular | Next | web app

Project details
I specialize in fixing bugs and resolving errors in modern web and mobile applications using React, Node.js, Vue, and React Native. Whether your app is crashing, APIs are failing, or something just isn’t working right — I can quickly diagnose and fix the issue.
I focus on writing clean, maintainable code while ensuring your application remains stable and optimized after the fix. My goal is not just to patch bugs, but to provide long-term solutions.
✔ Fast debugging & troubleshooting
✔ Clean and efficient fixes
✔ Clear communication & updates
✔ Reliable and professional service
Let’s get your application running perfectly again 🚀
I focus on writing clean, maintainable code while ensuring your application remains stable and optimized after the fix. My goal is not just to patch bugs, but to provide long-term solutions.
✔ Fast debugging & troubleshooting
✔ Clean and efficient fixes
✔ Clear communication & updates
✔ Reliable and professional service
Let’s get your application running perfectly again 🚀
Programming Languages
HTML & CSS, JavaScript, TypeScriptCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$20
|
Standard
$55
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Bug Investigation | - | - | |
Fix Documentation | - | ||
Detailed Code Comments |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$25 - $200
Additional Revision
+$20About Abdul
AI/LLM Engineer | RAG, AI Agents, MCP Servers | Full-Stack Architect
Karachi, Pakistan - 7:33 pm local time
Recent work:
• Stateful multi-agent workflows in LangGraph with MCP-based tool integration and hybrid RAG (pgvector + reranking) — production teams query historical manufacturing data in plain English
• LLM evals, tracing, and prompt caching with LangFuse that cut token spend while holding answer quality
• AI-powered anomaly detection and automated reporting on live production-monitoring systems (Python, FastAPI, GPT-4, Llama)
I'm strong on the parts demos skip: evals and observability (LangSmith/LangFuse), fallbacks, rate limiting, and FinOps cost monitoring — so what we launch keeps working at real traffic.
Stack: Python (FastAPI), TypeScript/Node.js (NestJS), React/Next.js, LangChain, LlamaIndex, LangGraph, pgvector, Pinecone, PostgreSQL, Kubernetes, Terraform, AWS/Azure/DigitalOcean.
How I work: clear scope before code, funded milestones, updates twice a week, and honest calls on what an LLM can and can't do for your use case.
Adding AI to an existing product, building an AI-first SaaS, or need agents that plug into your tools via MCP? Message me with what you're trying to build — I'll reply with an honest take and a plan.
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
I will review your issue, code, and provided details to understand the root cause.
Debugging & Issue Identification
I will investigate the bug, check logs, and identify the exact problem in your application.