Welcome to NeuroStack Dev Blog

Welcome to NeuroStack Dev Blog – the online home of an AI developer passionate about building, optimizing, and deploying deep learning systems. This blog isn't just a collection of notes – it’s a living archive of real-world neural network development, written by someone who's spent more than 8 years working hands-on in AI and machine learning. I started this blog to break down the complexity of neural architectures into something tangible and understandable for developers, researchers, and curious engineers. With a background in full-stack development and a deep focus on neural stacks like PyTorch, TensorFlow, ONNX, and TensorRT, I strive to share everything from experimental architectures to scalable deployment patterns. Whether I’m tuning hyperparameters on a transformer, benchmarking inference speed on Jetson hardware, or comparing API latency across cloud providers – this blog reflects the real workflows of a developer in the trenches of AI. You'll also find curated content on MLOps, model interpretability, edge AI deployment, CI/CD for machine learning, and more.