Hello everyone, I am a Senior Full-Stack AI Engineer specializing in the following fields: Frontend and backend integration, web and mobile app development, API integration, AI chatbots and assistants, workflow automation, N8N, MPC, AI agents, multimodal systems, SaaS projects, generative AI, Web3, etc. I have project development experience in various fields such as learning management systems, fintech, education, and healthcare. I handle a wide range of tasks, from codebase reviews and bug fixes to high-level architecture design, MVP development, and rapid product launches. Please feel free to contact me anytime if you need assistance with project development. You can find my contact information on my profile.

recently added a new device (Samsung Galaxy S23 Ultra) to my workflow setup. Also, quick note — I’ve been a bit quiet because I’ve been focused on improving systems, testing ideas, and refining processes behind the scenes. Here’s a recent performance snapshot: 💰 $3,363+ payout (YouTube partner earnings) 📊 $329+ current month progress Nothing here is magic — it’s mainly a result of: • Choosing the right niche • Improving content quality over time • Understanding audience + retention • Using AI tools to make workflows more efficient The key takeaway: 👉 It’s less about posting more… and more about posting with a system. Still learning, still optimizing — but progress like this shows what’s possible when things are done more intentionally. If you’re interested in seeing more breakdowns or how the workflow is structured: 🔗 Telegram Community https://t.me/youtubegrowthhubbyadeyemizainab⁠� 📩 Telegram DM https://t.me/zivayt⁠� 💡 Motivation: Everyone you see getting results today started from zero. The difference is they didn’t stop when it was confusing or slow. Start small, stay consistent, and focus on learning the system — your results will follow. 🚀

In the last 28 days: • 1.6M views • 8K watch hours • +6.9K subscribers This is what happens when you treat YouTube automation like a real business, not a side hustle. If you’re still guessing, you’re slowing yourself down. Build systems. Stay consistent. Scale smart. 🚀

Everyone’s talking about leads. But no one talks about where to actually get them. I just built a powerful MacRAE’s BlueBook Scraper — and it’s turning into a goldmine for B2B lead gen. What’s MacRAE’s BlueBook? It’s one of the largest industrial directories in North America — with millions of verified businesses across every niche imaginable. Whether you’re after: - Manufacturers - Suppliers - Industrial contractors - Or niche B2B businesses… This scraper can extract all the data — company names, emails, phones, addresses, websites, descriptions, categories, and more. No blocks. No IP bans. No captchas. Smooth scraping, built with protection layers to bypass Cloudflare, bot-detection, and WAFs. I don’t just give you data. I give you data that actually delivers. ✅ Cleanly mapped into your CRM, Google Sheets, Airtable, or wherever you want it. ✅ Zero manual effort. ✅ Custom-built scrapers for any platform — not a one-size-fits-all bot. And it doesn’t stop at MacRAE’s… I can scrape: Google Maps, TruePeopleSearch, Zillow, Realtor.com, Sitejabber, Trustpilot, TripAdvisor, Reddit, FindLaw, Wuzzuf, Shopify / Amazon Stores, Iglu Cruise, Bokadirekt, Allabolag, MyIP.ms — and dozens more… Basically, any public platform — no matter how protected. — A bit about me: - I’m now an official n8n Creator. - My automation templates have been downloaded 5000+ times on Gumroad in just 65 days. - 740k+ people visited my Instagram last month alone. - And over 600k views on my reels. People are starting to realize: Smart scraping + automation = real leverage. Like and comment "SCRAPER" for a quick demo. What’s the one platform you wish you could scrape without limits? I might already have a solution — drop your thoughts below. P.S. You can also grab my free templates here. Or just DM me and I’ll share directly with you.

As a software engineer working closely with AI systems, I’ve noticed something important: Most of today’s AI is still "reactive". It waits for input. It answers questions. It follows prompts. But that’s not where things are heading. The next phase of AI is "autonomous learning systems" — models that don’t just respond, but continuously evolve. Imagine systems that: - learn from every interaction without being retrained manually - adapt their behavior based on outcomes, not just instructions - identify problems before users even notice them - execute full workflows end-to-end without human guidance We’re moving from: “AI as a tool” → to → “AI as an independent operator.” In this future, AI won’t just assist businesses — it will "run" large parts of them. Customer support? Fully handled. Product optimization? Continuous and self-improving. Decision-making? Data-driven and autonomous. Human involvement doesn’t disappear — but it shifts: from "doing the work" → to "defining direction and constraints." This raises real questions: - How much autonomy should we allow? - Where do we draw boundaries? - What happens when systems outperform human decision-making consistently? We’re not fully there yet. But from what I’m seeing on the engineering side, we’re closer than most people think. Curious how others here see it Are we ready for truly self-operating AI systems?