I created my LinkedIn profile nearly 10 years ago. Like many people, I thought having a profile was enough. I would occasionally update my profile, connect with a few people, and scroll through my feed. But I wasn't truly leveraging the platform. Everything changed a few months ago. In April, I joined the Decoding Data Science Academy. More importantly, I started doing something simple: ✅ Sharing what I learn ✅ Posting project updates ✅ Engaging with other professionals ✅ Documenting my AI journey publicly ✅ Contributing to conversations instead of just consuming content The results surprised me. 📈 Last 12 Months: • 30,908 Impressions • 1,423 Engagements 📈 Last 2 Months Alone: • 17,822 Impressions • 1,145 Engagements That means: 🔥 Nearly 58% of my yearly impressions came from just the last 2 months. 🔥 More than 80% of my yearly engagement was generated in the last 2 months. The lesson? LinkedIn is not just a platform to upload your CV. It's a platform to: 🤝 Build meaningful professional relationships 📚 Learn from industry experts 🎯 Showcase your skills and projects 💡 Share your knowledge and experiences 🚀 Create opportunities you never planned for Many students and professionals hesitate to post because they think: ❌ "I'm not an expert." ❌ "Nobody will care." ❌ "I don't have enough followers." I used to think the same. But people don't follow perfection. They follow growth. Your learning journey, projects, challenges, lessons, and experiences can provide value to someone else. You don't need thousands of followers to start. You need consistency. A simple post about what you're learning today could become the opportunity that changes your career tomorrow. If you're a student, fresh graduate, or professional who has been silently scrolling on LinkedIn, this is your sign: Start sharing. Start engaging. Start building. The best time to start was years ago. The second-best time is today. 🚀

🚀 Looking forward to Session #3 of the AI Accelerator Boot Camp: From RAG to Real AI Systems – Integration, Evaluation & Deployment organized by Decoding Data Science and Mohammad Arshad Excited to learn more about AI workflow integration, model evaluation, deployment strategies, and building production-ready AI systems. Looking forward to gaining practical insights and expanding my AI engineering knowledge. great reminder that building an AI model is only the beginning—the real challenge is delivering reliable business value in production. #AI #GenerativeAI #RAG #AIBootcamp #MachineLearning #AIEngineering #ContinuousLearning

🏙️ I built a live AI product in 3 days. Here's what it does and how it works. Introducing DubaiNest AI — a RAG-powered real estate assistant for Dubai, built by own from scratch during the AI Accelerator Bootcamp learning by Decoding Data Science. The problem it solves: Every expat in Dubai knows this frustration — scattered rental prices, confusing RERA laws, no single place to get a straight answer. DubaiNest AI changes that. You can ask it: 🔹 "What is the average rent for a 1BR in JVC?" 🔹 "Can my landlord increase rent by 20%?" 🔹 "What is the total move-in cost for an AED 90,000 flat?" 🔹 "Which areas suit a young professional?" And it answers accurately — grounded in real data, no hallucination. The tech stack: ⚙️ LlamaIndex — RAG pipeline & query engine 📦 Pinecone — cloud vector database (1536-dim embeddings) 🤖 OpenAI GPT-4o-mini — LLM (temperature=0, factual answers) 🌐 Flask + Waitress — production API server 🐳 Docker — containerised deployment 🤗 HuggingFace Spaces — live hosting, single URL What I learned building this: ✅ Data quality matters more than model choice ✅ LlamaIndex's {context_str}/{query_str} != LangChain's {context}/{question} — a small difference that breaks everything ✅ Shipping a real product is completely different from running a notebook I am a Mechanical Automation & Maintenance Engineer now specialising in Industrial AI. Most software people build AI apps. I build AI apps that understand real physical systems and real operational problems. This is what 3 days of focused building looks like. 👇 🔗 Try it live: https://lnkd.in/dAFBcYM5 💻 GitHub: https://lnkd.in/d9cGAUcp Mohammad Arshad Bayut.com dubizzle Property Finder Dubai Land Department Emaar DAMAC Properties Better Home Group

Career Talk #153: AI LinkedIn Visibility OS Your skills matter. Your visibility matters too. 📅 May 31, 2026 (Sunday) ⏰ 12:00 PM GST 📌https://nas.com/artificialintelligence/events/career-talk-the-best-way-to-learn-and-implement-ai-1779272443878 Learn how to use LinkedIn strategically to showcase your expertise, build credibility, create proof of work, and get noticed by recruiters, hiring managers, and industry leaders. Discover how AI can help you: ✅ Create engaging content ✅ Build your personal brand ✅ Share your learning journey ✅ Increase career opportunities Your resume tells people what you claim. Your LinkedIn presence shows people what you can do. Join us and start building your career visibility today!

Excited to join the upcoming AI Guild Workshop by Decoding Data Science Organized by Mohammad Arshad, this session will provide a practical deep dive into how modern AI systems are built using: ✅ Multi-Agent Orchestration ✅ LangChain ✅ SQL Agents ✅ RAG (Retrieval-Augmented Generation) ✅ Customer Data Agents ✅ AI-Powered Customer Care Automation 💡 Why this session is valuable? Today’s businesses generate massive amounts of customer data, but transforming that data into actionable insights is the real challenge. This workshop demonstrates how AI agents can collaborate together to create intelligent customer support and recommendation systems. 📊 Real-World Applications: 🔹 Customer 360 platforms 🔹 AI customer support systems 🔹 Recommendation engines 🔹 Business intelligence automation 🔹 Personalized customer experiences 🔹 AI copilots for enterprises 🤖 How it impacts AI & Data Analytics: Combines structured SQL data with AI reasoning Uses RAG pipelines to improve AI responses Connects analytics, automation, and customer intelligence Demonstrates the future of intelligent enterprise systems This is an excellent opportunity for: ✔ AI Engineers ✔ Data Analysts ✔ Data Scientists ✔ Software Developers ✔ ML Engineers ✔ Business Intelligence Professionals Looking forward to learning from this technical deep dive for AI builders! 🔥 #AI #LangChain #DataScience #MachineLearning #ArtificialIntelligence #RAG #SQL #LLM #GenerativeAI #Customer360 #DataAnalytics #Automation #DDS #TechLearning