hamza inayat
AI automation expert: LangChain, LangGraph, n8n
New to Contra
hamza is building their profile!
🚀 Building AI-powered automations with n8n & LangChain
Recently, I’ve been working on projects where I combine n8n workflows with LangChain-based AI agents to automate real business tasks like:
✅ Email handling & follow-ups
✅ GitHub repo metadata analysis
✅ AI-powered document processing (RAG)
✅ API-based automation without paid SaaS lock-in
My focus is on practical automation — reducing manual work, saving time, and making systems reliable and scalable.
If you’re looking to:
Automate repetitive workflows
Integrate AI into existing systems
Build custom LangChain logic inside n8n
I’d love to collaborate or help 🚀
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The Student Feedback System collects opinions, suggestions, and concerns from students through an online form. Submissions are categorized and analyzed using AI, then sent to instructors or administrators via email to improve teaching quality, courses, and learning experience. It supports data-driven academic improvement.
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Built a multi-agent AI workflow that retrieves information from any GitHub repository, processes it using a Gemini-powered system, and automatically sends structured insights to users via email. It can also generate and update Google Docs dynamically, enabling seamless code analysis, reporting, and intelligent automation in one integrated system.
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That’s a great project 🚀 Especially as an AI student — a YouTube-based RAG system is very relevant right now.
Here’s a clean, professional LinkedIn description you can use (you can copy-paste this directly):
🔍 YouTube RAG Model – Context-Aware Question Answering System
I recently built a Retrieval-Augmented Generation (RAG) model that enhances the way we interact with YouTube content.
📌 What It Does:
This system takes a YouTube video link, extracts its description (and contextual information), and uses it as a knowledge base. When a user asks questions about the video, the model:
Retrieves relevant contextual information
Uses that context to generate accurate, clear, and detailed answers
Reduces hallucinations by grounding responses in actual video data
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build a smart AI learning coach workflow that turns user form data into a personalized roadmap, emails it automatically, schedules study sessions in Google Calendar, sends smart reminders, creates structured notes in Google Docs, and generates quizzes with scoring to track progress.
Perfect for coaches, educators, course creators, and edtech startups who want automated learning management with AI.
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