You will get a fantastic web Task Management Application
Project details
You will get a full working we app that anybody can use in thier computer for daily base tasks. It is vert usefull app that anybody can use
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$40
|
Standard
$150
|
Advanced
$200
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 4 days |
Number of Revisions | 1 | 5 | Unlimited |
Number of Pages | 1 | 1 | 1 |
Design Customization | - | ||
Content Upload | |||
Responsive Design | |||
Source Code | - | - |
About Abdul
AI Engineer | LangChain & LangGraph | RAG, Agents | FastAPI
Lahore, Pakistan - 6:46 pm local time
AI Integration Expert | LangChain · LangGraph · Agentic Workflows | Python · FastAPI · Next.js | Azure · AWS
🕛 Full-Time Availability | ✅ Open-source projects on GitHub
Hi, I'm Abdul Qadeer, a full stack engineer specializing in AI integration, backend architecture, and end-to-end product delivery. I design and deploy agentic AI workflows using LangChain and LangGraph, integrated with scalable APIs, modern web interfaces, and production cloud infrastructure.
My focus is building systems that create measurable outcomes: automation, faster decision-making, reduced manual workload, and scalable AI-enabled products.
🔧 Core Strengths
AI Integration Specialist | Full Stack Web Development | Backend Engineering | RAG Systems | Agentic Workflows | Process Automation | Cloud Deployment | Scalable Product Delivery
👉 Big Data & AI Integration
I help businesses unlock the value of internal documents and operational data by building RAG pipelines and AI systems that can search, summarize, answer, and execute tasks reliably.
• Retrieval-Augmented Generation (RAG) systems
• Vector databases (Pinecone, Qdrant, PGVector, AstraDB)
• Document ingestion and transformation workflows
• Structured tool calling and integrations (MCP workflows)
• Background tasks and distributed processing (Celery, RabbitMQ)
Relevant GitHub Projects: Enterprise RAG System (FastAPI + OpenAI + Celery + RabbitMQ + Postgres + PGVector) · MCP Integration AI Workflow
👉 Data Science & Intelligent Automation
I build agent-driven automation systems that allow LLMs to reason, interact with APIs, follow workflows, and deliver real outcomes in production environments.
• LangGraph orchestration (multi-agent workflows)
• Tool routing, task planning, workflow execution
• API-integrated AI assistants for internal operations
• Local LLM workflows (Ollama / Llama 3.1) for controlled deployments
Relevant GitHub Projects: HR Assistant AI Tool · AI Recruiter Assistant API · LangChain Mini Projects (Ollama / Llama 3.1)
👉 Full Stack Technology
I deliver complete systems from UI → backend → cloud deployment, with maintainable architecture and strong security practices.
• Frontend: React.js, Next.js, TypeScript, TailwindCSS
• Backend: Python (FastAPI, Django, Flask), Node.js, REST APIs, OAuth, JWT Auth, Payment Integrations
• Databases: PostgreSQL, MongoDB, Vector DBs
• Cloud & DevOps: AWS (EC2, S3, Lambda), Azure (Blob Storage, Cognitive Services), Docker, Supabase
Relevant GitHub Projects: Chat with Videos (FastAPI + Next.js) · Embeddable Chatbot Widgets
💼 Industry Experience
• E-commerce: AI-assisted personalization and operational automation
• Fintech: Secure backend systems and scalable APIs
• CRM Platforms: AI workflow automation and assistant integrations
Driven by a results-first mindset and backed by hands-on engineering delivery, I help teams build AI-powered platforms that work in production, not only in theory.
📩 If you're building an AI assistant, a LangGraph-based agent workflow, or a scalable FastAPI backend with a modern UI, I can deliver the complete system end-to-end.
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.
I first design the frontend with react JS and then made API's with DRF