Hi 👋, I'm Adeel
Machine Learning Engineer
Welcome to my little corner of the internet! I love exploring the intersection of technology, creativity, and problem-solving. This space is where I share my thoughts, projects, and lessons learned along the way. Whether you’re here to dive into engineering marvels, pick up some handy notes, or enjoy a good blog read, I hope you find something that sparks your curiosity and inspires you. Let’s learn, build, and grow together—one idea at a time!
Recent writing
Predicting the Next Word with a PyTorch LSTM
Build a small causal next-word model, inspect every LSTM state and tensor shape, train it in PyTorch, and understand why bidirectional LSTMs do not fit this training objective.
Classifying English Sentences with a PyTorch RNN
Build a small positive-or-negative sentence classifier, follow every tensor through tokenization, embeddings, recurrent memory, and the classifier, then train and evaluate it in PyTorch.
Classifying Sine Waves with a Simple RNN from Scratch in PyTorch
A small, visual introduction to recurrent neural networks: generate slow and fast sine waves, follow every tensor shape through a hand-built RNN, train it with backpropagation through time, and evaluate it.
Configuration in Docker and Kubernetes: Environment Variables, ConfigMaps, and Secrets
How Docker and Kubernetes keep configuration out of the image, the two ways config and secrets reach a container, why files update live but environment variables do not, and how to actually secure Secrets.
Storage in Docker and Kubernetes: Volumes, Persistent Storage, and Distributed Systems
How Docker keeps container data on one machine, how Kubernetes provides persistent and distributed storage across a cluster, and how to choose the right option for databases and machine learning.
Docker and Kubernetes Under the Hood: Architecture, Networking, and How They Compare
How Docker builds containers from Linux features, how Kubernetes runs them across many machines, and how the two fit together.