You will get an AI Agent Built with n8n, Lang Chain & Open AI to Automate Your Business
Project details
Most AI developers on Upwork build simple chatbots and call them agents. I build systems that actually take action — reading emails, updating CRMs, sending Slack alerts, querying databases, and making decisions — 24/7, without manual input.
My background spans full-stack development (MERN), RAG pipeline engineering, and n8n/LangChain automation. Every agent I deliver includes error handling, retry logic, structured logging, and a complete handoff package — not a prototype you have to finish yourself.
What makes this project different:
— Scoped before built: I confirm the architecture before writing a line of code
— Production-ready: Clean, documented, handoff-ready code with env variable management
— Stack-flexible: n8n, LangChain, OpenAI function-calling, or hybrid — whichever fits
— MERN background: Your agent can be embedded into any React or Node.js application
I've built hybrid RAG pipelines with FAISS + BM25 retrieval, cross-encoder reranking, and multi-query expansion — the kind of engineering most "AI freelancers" have never implemented.
If you have a repetitive process that costs you time every week, let's automate it.
My background spans full-stack development (MERN), RAG pipeline engineering, and n8n/LangChain automation. Every agent I deliver includes error handling, retry logic, structured logging, and a complete handoff package — not a prototype you have to finish yourself.
What makes this project different:
— Scoped before built: I confirm the architecture before writing a line of code
— Production-ready: Clean, documented, handoff-ready code with env variable management
— Stack-flexible: n8n, LangChain, OpenAI function-calling, or hybrid — whichever fits
— MERN background: Your agent can be embedded into any React or Node.js application
I've built hybrid RAG pipelines with FAISS + BM25 retrieval, cross-encoder reranking, and multi-query expansion — the kind of engineering most "AI freelancers" have never implemented.
If you have a repetitive process that costs you time every week, let's automate it.
AI Algorithms
Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, AI-Generated Code, AIOps, Anomaly Detection, Automatic Speech Recognition, Conversational AI, Natural Language Generation, Natural Language Understanding, Sentiment Analysis, Sequence Modeling, Text RecognitionAI Development Language
PythonAI Tools
Azure OpenAI, GitHub Copilot, Gradio, Hugging Face, PyTorch, Streamlit, TensorFlowAI Models
BERT, BLOOM, ChatGPT, GPT-3, GPT-4, GPT-J, GPT-Neo, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$350
|
Standard
$850
|
Advanced
$1,600
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 21 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | ||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | |||
Model Tuning | - | ||
Natural Language Processing | |||
NLP Tokenization | |||
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$150 - $750
Additional Revision
+$150
Extra API / Tool Integration
(+ 2 Days)
+$100
Frontend Chat UI (React)
(+ 2 Days)
+$200
Extended Support — 30 Days
(+ 10 Days)
+$200Frequently asked questions
About Syed Taseer
AI Automation Engineer | n8n, LangChain, RAG | Full-Stack Python/React
Lahore, Pakistan - 5:29 am local time
Most businesses know AI should be saving them time and money, but they've either tried a generic chatbot that flopped or they're stuck waiting on a dev team to "look into it." Meanwhile their competitors are automating. That's where I come in.
I'm an AI automation engineer and full-stack developer. I connect AI brains — Claude, GPT-4o, open-source LLMs — directly into your business using n8n, Make, LangChain, and custom API pipelines, then build the web app, dashboard, or portal around them so your team can actually use the system. Not demos. Not prototypes. Systems that run while you sleep.
What I build for clients:
• AI-powered lead qualification — a lead comes in, gets scored and tagged (hot/warm/cold) by AI, and routed to your CRM automatically
• Internal knowledge bots (RAG) — your team asks a question, the system searches your real docs and SOPs, and answers precisely — no hallucinations
• Multi-agent / agentic workflows — complex tasks split into steps, each handled by a specialized AI agent, with human-review gates where it matters
• AI-powered web apps — full-stack applications (React/Next.js + Python/FastAPI) with AI built into the core, not bolted on
• Automated outreach pipelines — AI drafts personalized follow-ups, your team reviews, one click sends
• Custom RAG systems — LLMs grounded in your proprietary data so they answer from your world, not the internet
What separates my work from the average "AI developer" here:
• I start with your business outcome, not a tech stack. If n8n isn't the right tool, I'll tell you.
• I build with observability from day one — you can see what your AI is doing, why it decided what it did, and where it failed.
• I ship the whole thing end to end — backend, AI layer, and the front-end interface your team logs into.
• I document everything. When we're done, you own the system and know how to run it.
My tech stack:
Automation: n8n, Make, Zapier (AI nodes), custom webhooks
AI / Agents: LangChain, LangGraph, CrewAI, AutoGen
LLMs: Claude (Anthropic), GPT-4o, Llama 3, Mistral
Vector DBs / RAG: Pinecone, Weaviate, ChromaDB, pgvector
Full-Stack: Python (FastAPI, Flask), Node.js, React, Next.js, REST APIs
If you're trying to put AI to work inside your business — or need a full-stack app with AI at its core — send me a message with what you're trying to automate. I'll tell you honestly whether I can help and how I'd approach it.
Steps for completing your project
After purchasing the project, send requirements so Syed Taseer can start the project.
Delivery time starts when Syed Taseer receives requirements from you.
Syed Taseer works on your project following the steps below.
Revisions may occur after the delivery date.
step 2
I review your requirements and send a brief technical spec — agent type, tools, APIs, and architecture — for your approval within 24 hours. No code is written until we are aligned.
step 3
I build the agent with clean, modular code including error handling, retry logic, and secure credential management via environment variables.