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Hello 👋 I'm Dan Kibiwott, a Fullstack Software Developer and Machine Learning Engineer based in Cambridge, United Kingdom. I'm passionate about building systems that combine human creativity with computational intelligence.
Welcome to my personal website, where you get a behind the scenes look of what I'm currently learning, exploring and creating.
Featured Projects
| Name | Description | Links |
|---|---|---|
| World Integrity Engine | This is a Proof of Concept tool that helps authors maintain consistency across complex fictional worlds by tracking rules, facts, timelines, and knowledge states. It flags logical and continuity conflicts without influencing creative direction, allowing writers to focus on storytelling while keeping their worlds coherent. #Many Worlds Theory#Machine Learning#React JS#Javascript#Vectors#Microsoft Azure AI Foundry | Website, GitHub |
| Arasaka Neural Bastion | This is a Pipeline focused on developing trading strategies using an ensemble model combining LinearSVR and SFN. The model leverages market data features like price, volume, and moving averages to predict trends, optimize trading, and adapt to dynamic market conditions through machine learning and Automation Scripts. #ML-Finance Pipeline | Website, GitHub |
Featured Articles
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.
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.
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.