DEV Community: Abdullah Jahangir

Building an Autonomous Enterprise Deep Research Platform with LangGraph and Groq

Abdullah Jahangir — Mon, 06 Jul 2026 12:58:24 +0000

In the era of AI, manual research is becoming a bottleneck for productivity. I wanted to solve this by building a system that doesn't just "search" but actually "thinks" and "synthesizes" information like a professional analyst.Today, I’m excited to introduce ResearchMind—an autonomous, enterprise-grade research platform.

The ChallengeMost research tools return a list of links that you still have to read and summarize manually. I wanted to move away from this and build a multi-agent system that:Performs deep web research. Extracts high-quality content. Audits the information for factual accuracy. Generates a formatted report with citations. The ArchitectureResearchMind is built on a modular architecture to ensure reliability and scalability. 1. The Multi-Agent WorkflowThe system orchestrates seven specialized AI agents coordinated through a LangGraph workflow. Search Agent: Uses Tavily for real-time deep web discovery. Reader Agent: Uses Jina AI to scrape and parse high-fidelity content. Fact-Check Agent: Verifies findings against credible sources. Critic Chain: A multi-dimensional rubric auditor that ensures the final report meets enterprise standards. 2. The Tech StackLanguage: Python. Agentic Framework: LangGraph (for persistent state management). LLM Provider: Groq (Llama-3.3-70b-versatile) for high-speed inference. Frontend: Streamlit (for real-time pipeline visualization). Technical HighlightsOne of the most interesting challenges was implementing persistent session memory. By using LangGraph’s MemorySaver, the platform can recall the state of an entire research pipeline, making it feel like a continuous, intelligent conversation. "ResearchMind is designed to move beyond simple search to deliver synthesized, citation-enforced, and high-quality analytical reports." Why This MattersAs developers, we are moving into the "Agentic Era" of software. Understanding how to orchestrate multiple agents to perform complex, multi-step tasks is a critical skill for building the next generation of enterprise tools. Get StartedYou can explore the codebase and the technical status report on my GitHub:"https://github.com/abdullahjahangirai/ResearchMind" View ResearchMind on GitHubWhat do you think about the future of agentic research workflows?
linkdin links https://www.linkedin.com/in/abdullah-jahangir-ai/

Meet Abdullah Jahangir AI: AI Automation Specialist & Python Backend Developer

Abdullah Jahangir — Wed, 17 Jun 2026 08:43:24 +0000

Introduction
Hello everyone! I am Abdullah Jahangir, an AI Developer, Python Backend Developer, and Automation Specialist based in Karachi. My journey is driven by a passion for building intelligent workflows, robust backend architectures, and exploring the vast world of Agentic AI.

In an era where technology evolves rapidly, I am dedicated to bridging the gap between complex AI models and real-world practical applications. Whether it's building production-grade sentiment analysis pipelines or automating business processes with tools like n8n, my goal is always to create efficient, scalable, and smart solutions.

My Professional Journey
With a strong foundation in Python and Data Science, I focus on:

AI Automation: Creating "Agentic" workflows to simplify complex tasks.
Backend Development: Building clean, secure, and performant APIs.
Continuous Learning: Always iterating on projects, from custom LMS platforms to data-driven web applications.

Connect With Me
I believe in the power of community and knowledge sharing. You can follow my journey, check out my code, and see what I’m building next through the links below:

LinkedIn: https://www.linkedin.com/in/abdullah-jahangir-ai/
GitHub: https://github.com/abdullahjahangirai
X (Twitter): https://x.com/DevAbdullahai
Dev.to: https://dev.to/abdullah_jahangir_ai
Kaggle: https://www.kaggle.com/abdullahjahangirai Linktree: (All Profiles): https://linktree.com/abdullahjahangir

Social & Portfolio
Beyond the code, I share insights and updates on my work here:

Portfolio: https://abdullah-ai.lovable.app/
Facebook: https://www.facebook.com/abdullah.jahangirai/
Instagram: https://www.instagram.com/abdullahjahangir.ai/
TikTok: https://www.tiktok.com/@abdullah_jahangir99

I am always open to connecting with fellow developers, researchers, and AI enthusiasts. Feel free to reach out, collaborate, or simply say hello!

A Question for Developer and ai lerners

Abdullah Jahangir — Sun, 03 May 2026 13:30:15 +0000

🚀 A Question for Developers & AI Learners

Recently, many people explored the 24-hour Replit AI free access to test how AI can improve coding productivity.

I’d love to hear honest experiences from developers, students, and freelancers:

👉 Did it help you build something useful?
👉 Did it save time or improve your workflow?
👉 Was it worth trying, or overhyped?

Real feedback helps others make better decisions.

Share your thoughts in the comments 👇

Replit #AI #ArtificialIntelligence #Developers #Programming #Coding #SoftwareDevelopment #WebDevelopment #TechCommunity #Productivity #MachineLearning #DevCommunity

Building TechAtlas: My Journey Creating a Complete Tech Learning Universe

Abdullah Jahangir — Wed, 15 Apr 2026 19:15:03 +0000

Building TechAtlas: My Journey Creating a Complete Tech Learning Universe
Introduction
Learning tech can be overwhelming. With thousands of tutorials scattered everywhere, I realized students need a structured roadmap—not just links, but a guided experience. That’s why I built TechAtlas, an open-source learning platform designed to take you from Python basics to the world of AI Agents.

What is TechAtlas?
TechAtlas is more than just a website; it’s a comprehensive ecosystem for aspiring developers. Whether you want to dive into Web Development, master Data Science, or explore the cutting edge of Generative AI, TechAtlas provides a clear path forward.

Key Features 🚀
6 Tech Domains & 10+ Languages: From low-level C programming to high-level Python, I’ve structured roadmaps for the most in-demand technologies today.

Atlas: The AI Chatbot: I integrated a smart assistant named "Atlas" to help students with instant coding queries. In the screenshot, you can see Atlas explaining C language concepts with real code examples.

Multilingual Support: Understanding that language shouldn't be a barrier to learning, I’ve included support for English, Roman Urdu, Hindi, and more.

Focus on Gen AI: Beyond traditional coding, TechAtlas emphasizes AI Agents and Agentic Workflows, preparing students for the future of software engineering.

Why I Built This?
As an AI Developer and student myself, I know the struggle of finding quality resources that actually make sense. I wanted to create a platform where:

Everything is explained simply.

The UI is minimalist and distraction-free.

Students can interact with an AI tutor whenever they get stuck.

The Tech Stack 🛠️
I leveraged the power of Lovable to rapidly prototype and deploy this application. The goal was to focus on the user experience and the logic of the learning roadmaps while ensuring a sleek, futuristic aesthetic.

Conclusion
TechAtlas is a project born out of a passion for education and automation. I believe that with the right roadmap, anyone can become a developer.

Check it out here: https://techatlas-app.lovable.app/

I’d love to hear your feedback! What tech domain should I add next? Let’s discuss in the comments!

🚀 Building an AI-Powered Typing Master Web App (React + Next.js)

Abdullah Jahangir — Fri, 10 Apr 2026 13:07:43 +0000

I recently built a Typing Master Web Application using modern frontend tools and AI-assisted development. The goal was to create a smart, engaging platform to improve typing speed and accuracy.

✨ Features
Level-based system (Beginner → Level 50)
Real-time analytics (WPM, accuracy, errors)
AI-powered performance insights
10+ interactive typing games
User dashboard with progress tracking
Smooth, responsive UI
🛠 Tech Stack
React / Next.js
Tailwind CSS
Framer Motion
🤖 Key Insight

AI helped speed up development by improving UI design, logic generation, and overall user experience—making the app more efficient and scalable.

🔗 Live Demo
https://key-mastery-journey.lovable.app/

I Built Pakistan's First AI Data Platform — PakData Insights

Abdullah Jahangir — Thu, 02 Apr 2026 11:48:28 +0000

What I Built

PakData Insights is Pakistan's first AI-powered public data
platform. Anyone can explore Pakistan's GDP, literacy rate,
population and provincial data — and ask questions to PakBot
our AI assistant.

🔗 Live Site: https://pak-data-insights--aj0051704.replit.app

Why I Built This

Pakistan has no central place for public data.
I am an AI and Data Science student and I wanted to solve
this real problem using technology.

Tech Stack

Next.js + Tailwind CSS
Google Gemini AI (PakBot)
Recharts for data visualization
Deployed on Replit

Features

📊 Pakistan GDP, literacy, population charts
🤖 PakBot — AI chat in Urdu and English
🗺️ Interactive Pakistan province map
📰 Latest Pakistan data updates

What I Learned

Building AI-powered web apps
Working with public data APIs
Agentic AI integration

Built with ❤️ for Pakistan