This weekend was a good reminder that there’s still so much to learn in AI, even when you think you already know the basics. I started with the AI Residency Cohort 12 onboarding session by Decoding Data Science, where Mohammad Arshad walked us through the evolution of AI, how models have developed over time, and what we’ll be learning and working on during the next 20 weeks. We also explored concepts like tokenization, how language models process text, and AI hallucinations — why AI can sometimes give answers that sound completely confident but are actually wrong. It made me think about how important it is to understand what happens behind the scenes instead of just knowing how to use AI tools. Later, I attended the Agentic AI Engineering Masterclass, where we explored four layers of building agentic AI systems: • Prompt engineering • Context engineering • Harness engineering • Loop engineering One thing that really stuck with me was that getting a good response from AI is only one part of the process. Building a system that can use tools, check its results, and try again when something goes wrong is a different challenge altogether. And a little highlight… 🏆 I came 1st in the Kahoot quiz! 😂 Definitely a fun moment during the session! As someone studying IT with a focus on AI, these sessions make me even more curious about how AI systems are actually built and what we can do with them beyond basic prompting. Now I'm looking forward to the next 20 weeks of the residency — learning, experimenting, making mistakes, and hopefully building things I'm genuinely proud of. Thank you, Mohammad Arshad and Decoding Data Science, for the sessions and the opportunity to learn! One weekend, two learning sessions, and so much more to explore. Here's to getting better, one step at a time. #AI #AgenticAI #AIEngineering #DecodingDataScience #AIResidency

It was an amazing experience and I learnt many things from the competition.

Currently I am finding US & Europe based collaborator to support my business. I am a Software Engineer with 8 years of experience. I was extending my work. Simply, I am applying to software jobs with your name in your country's Job Market, and after get job I will handle all technical side and split the income between us. Let me explain in detail. This collaboration allows me, an experienced software engineer, to partner with someone who his excellent English communication skills and can help me secure tech positions. By combining my technical expertise with his strong communication skills, we form a powerful team that can secure jobs quickly and efficiently. With each successful job placement, our income increases. I want to say why this collaboration is needed. In today's competitive job market, collaboration can be the key to landing a role quickly. Together, we tackle each interview smoothly, significantly boosting the chances of securing position. This is especially valuable in December, when many companies are eager to fill roles before the end of year. And let me explain what you will do, the your role responsibilities in this collaboration. You will attend job interviews as a representative, answering questions on behalf of the engineer. This only requires strong, confident English communication - no deep tech knowledge is needed. So you will use your natural communication skills to make a strong impression during the interviews. Confidence and clarity in communication will help drive success. And follow Simple Preparation Steps - Advanced technical skills aren’t required. I will provide all the technical details and specific answers you'll need, so you’re fully prepared for any question that might come up. And I am just going to explain Interview Process in short. The interview process generally includes 3 stages - HR Interview, Technical interview and Final Interview. So for the HR Interview, it's initial interview with a recruiter to discuss my background and fit for the company.

Proud to celebrate another milestone in my continuous learning journey — completing the AI Accelerator Bootcamp: AI Curious to AI Builders Training Course, a 10-hour CPD activity through Decoding Data Science (DDS). In AI, the finish line keeps moving — and that’s exactly what makes the journey exciting. Keep learning. Keep building. Keep challenging what you thought you knew. A huge thank you to @Arshad Ahmad and the entire Decoding Data Science (DDS) community for creating a platform where curiosity turns into knowledge, and knowledge turns into action. Every certificate marks an achievement, but more importantly, it reminds me that the best investment we can make is in becoming a better version of ourselves. #ContinuousLearning #ArtificialIntelligence #AIBuilders #AIAccelerator #DecodingDataScience #DDS #ProfessionalDevelopment #FutureOfAI #LifelongLearning #BuildInPublic

They fail because we solve the wrong problem. I’ve seen how easy it is to get excited about: 🤖 LLMs ⚙️ AI Agents 🔗 RAG pipelines 📊 Machine Learning models 🚀 The latest AI tools But building the technology is only one part of the equation. The real questions are: 👉 What business problem are we solving? 👉 Where does AI actually fit into the workflow? 👉 Is the data reliable? 👉 Will people actually use it? 👉 Can we measure the ROI? 👉 What happens when the AI gets it wrong? A technically impressive AI system with no business value is still a failed project. The best AI solutions I believe in are not necessarily the ones with the most sophisticated models. They are the ones that reduce manual work, improve decisions, save time, reduce errors, or create measurable business value. 📈 💡 AI Engineering is not just about building intelligent systems. It’s about connecting AI + Engineering + Business to solve real-world problems. Build the technology. But start with the problem. 🎯 Decoding Data Science Mohammad Arshad #ArtificialIntelligence #AIEngineering #AI #GenerativeAI #Automation #AIAgents #MachineLearning #BusinessAI #IntelligentAutomation #DigitalTransformation #TechInnovation #AIForBusiness