Writing

Lab 004: Proprietary Capital Systems

Lab 004 was a months-long attempt to turn a forex ML idea into a complete research system: data ingestion, features, regimes, model routing, strategy rules, backtests, risk reports, MT5 execution, scheduled jobs, logs, and guard rails. It did not become the performant trading system I hoped for, but it became a serious engineering and research artifact.

June 1, 2026

Building Arasaka Neural Bastion

Arasaka Neural Bastion is my experimental forex machine learning research pipeline. This article walks through the architecture, model loop, deployment thinking, and why the most useful part of the project is not predicting the market, but building a system that can reject weak assumptions quickly.

June 1, 2026

Upgrading a Five-Year-Old Linux System

In 2018, I decided to dual-boot my HP laptop with Windows 10 and Ubuntu 16.04 because I needed to work in a Linux environment for a student project I was part of at UBC. Back then I was in an Engineering Design Team called Sailbot, working on an autonomous control system for a sailboat. Ubuntu became my daily driver at the time as I navigated the complexities of Gazebo and Robot Operating System (ROS) making Linux an essential tool for my development work.

September 30, 2024

SQL Joins Explained

One of the most powerful tools when working with relational data in SQL is Join Queries. SQL allows us to combine data from multiple tables into a single result set which enables us to retrieve data spread in multiple tables just using a single command. In this article, we'll explore the different types of SQL joins, focusing on how they work in PostgreSQL.

September 3, 2024

Building a Chess Web App

In this article, we will be building a Chess application using React that will allow the player to drag pieces across the board. We'll be using TailwindCSS for styling. To view what we will be building by the end of this article, visit dankibiwott.com/experiments/0001.

July 4, 2024

Machine Learning for Imaging

An evaluation of classical machine learning, feature extraction, and deep learning methods for binary image classification (Raccoon vs Rifle) using a curated OpenImages dataset.

2023 - 2024