Technical

Overview of deep learning approaches for very short-term load forecasting using CNN, LSTM, and attention mechanisms.

A personal overview of a modern Python development setup using UV, Ruff, Marimo, Polars, and Claude Code, plus a brief update on side projects and learning goals.

Part 2 of a series on computer architecture, tracing the historical evolution of x86/x64, ARM (32- and 64-bit), and the open-source RISC-V through to the processors powering modern devices.

An introduction to computer architecture fundamentals covering Von Neumann vs. Harvard organization, CISC vs. RISC instruction sets, and how modern processors like Apple's M-series fit into this taxonomy.

A walkthrough of a GitHub Actions CI/CD workflow that builds a Dockerized Streamlit app, pushes it to Amazon ECR, and deploys it behind an NGINX reverse proxy on EC2.

A step-by-step guide to launching an AWS EC2 instance running The Littlest JupyterHub, including network configuration, key pairs, and user-data setup.

A ground-up explanation of reinforcement learning fundamentals, policy gradients, and how proximal policy optimization (PPO) is used to align large language models with human feedback.

A practical walkthrough of C# for Python developers, covering task-based async patterns, file input classes, and building a .NET console application.