@volkan.js: these aren’t random tutorials. These are real, resume-level projects that show you understand how systems actually work: • Build a neural network from scratch using NumPy and understand how machine learning models train and make predictions • Learn DevOps with Git, CI/CD, Docker, and Kubernetes by deploying real production-ready applications • Build your own LLM from scratch using PyTorch and learn transformers, training, and model alignment • Create real-time systems with WebSockets and Node.js that can handle live data and scale to multiple users This covers the exact skills companies look for: backend development, system design, machine learning, DevOps, and scalable architecture. If you can build and explain projects like these, you’re already ahead of most candidates applying for software engineering roles. Save this post, share it with someone trying to break into tech, and start building projects that actually get you hired.

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Monday 15 June 2026 11:05:02 GMT