Hey everyone! I'm an AI Engineer & Full-Stack Developer with hands-on experience in building AI agents, automation systems, and scalable web apps. If anyone here needs help with: 🔹 AI Automation (LangChain, LangGraph, N8N) 🔹 Building AI Agents or custom workflows 🔹 Python / React / Node.js development 🔹 Integrating AI into existing systems …I’d love to collaborate! I’ve worked with international clients and delivered end-to-end solutions—now looking for remote work or project-based opportunities. I’ve attached my resume. If you have any work, I’d be happy to contribute! Feel free to DM me.

Here’s the flow: - Frontend built with React — user enters name & phone number. - Twilio triggers a call and creates a LiveKit room. - My Python agent joins the room — powered by Sarvam.ai for voice and OpenAI GPT-4.1 for intelligence. - The agent then interacts naturally in real time It’s wild to see how smooth and responsive it feels — real-time, low latency, and fully conversational. I’ve shared a short demo video showing the full workflow. Currently exploring AI Engineer / Voice AI opportunities, especially in Saudi Arabia, Qatar, or Dubai. If you’re building anything around real-time AI voice or agent systems, I’d love to connect or collaborate. #AI #VoiceAI #LiveKit #Twilio #OpenAI #ReactJS #AgenticAI #VoiceAgents #AIBuilders #Innovation

I’m putting this out with a bit of vulnerability, I’m really looking for a chance to work in an AI agency. Honestly, I’m open to any role where I can add value like content, marketing, N8N automations, or even helping with product management. Quick background: I studied engineering, worked in software for a while, and in the past year I’ve been building small AI projects (LangChain, LangGraph, Groq, N8N). Nothing fancy, but enough to show I can learn and execute. I’m not an “AI expert,” but I am obsessed with this space, resourceful, and willing to do whatever it takes to be useful to a team. If anyone here is running (or knows) an AI agency that needs someone who’s hungry, reliable, and willing to grind, please DM me. Even if it’s junior-level work, I’d be grateful for the opportunity. Thanks for reading this.. Linkedln profile: https://www.linkedin.com/in/mohammad-adil-sheikh-a66855171/

Hey everyone, I’m a MERN stack developer recently diving deep into the world of AI — not just reading, but building real things. Over the past few weeks, I’ve built an AI Agentic chatbot using LangGraph + LangChain + Groq + MCP powered AI agent Chatbot that connects to real APIs (Weather & Crypto). - Uses LangGraph and MCP to orchestrate real tool usage - Calls Python microservices I wrote myself (even though I was new to Python!) - Is connected to a chatbot interface using Streamlit 📹 I documented everything in a short Loom video — it’s real, working, and beginner-built:👉 https://www.youtube.com/watch?v=KAq3U_OXM0M&t=41s Why I’m here: ✅ I’m learning by doing, not just tutorials ✅ I want to work with real AI engineers or startups — contribute to real-world projects ✅ I’m hungry to learn RAG, tool use, agents, and AI infra the right way If you're building something exciting or want help prototyping your next agent/AI assistant — I’m happy to collaborate, shadow, or contribute. My goal is to build portfolio-worthy work and learn from people ahead of me. Would love to hear your thoughts, feedback, or even where I can level up. Let’s build!

Just deployed a groundbreaking AI research assistant that's revolutionizing how scientists interact with cellular biology data! After weeks of intensive development, our bot is doing things that seemed impossible just months ago. "This feels like having an entire research team at my fingertips" - That's what one of our beta testers said after using the system for just 30 minutes. What makes this different? We've built a comprehensive research assistant that: 1. Processes and analyzes microscopic cell images in real-time, providing detailed morphological insights 2. Supports voice, text, and image inputs across multiple languages 3. Generates detailed research reports automatically, complete with email delivery 4. Integrates real-time data from Wikipedia and the latest scientific research through SerpAPI 5. Leverages its own vector database packed with cellular biology knowledge The tech stack that made this possible? - N8N for workflow automation - Telegram for seamless interaction - Pinecone for vector storage - OpenAI's LLM for advanced analysis - Custom-built integration layers connecting everything But here's what's truly exciting: While everyone's focused on basic chatbots, we're pushing the boundaries of what's possible in scientific research automation. This isn't just a chatbot - it's a full-fledged research assistant that can: ✓ Analyze complex cellular images ✓ Generate multilingual voice responses ✓ Access real-time research data ✓ Create comprehensive email reports ✓ Handle multi-turn scientific discussions The breakthrough moment? Watching our bot successfully analyze a complex cell culture image, provide detailed morphological analysis, and generate a comprehensive report - all in under 2 minutes. I'm excited to share more about how we built this. Drop a comment if you'd like to learn about our development process or see some of the actual workflows and results. Thanks @Nate Herk your videos help me alot!!