SOFTWARE ENGINEERING • DATA ANALYTICS • DATA SCIENCE • APPLIED AI

Building practical technology for real-world problems.

I design software and data-driven solutions that automate workflows, uncover insights, and solve practical business problems.

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GitHub

const profile = {
    name: "Enock Kirui",

    focus: [
        "Software Engineering",
        "Data Analytics",
        "Data Science",
        "Artificial Intelligence"
    ]
};

DATA

SYSTEMS

What I Do

Software engineering, data analytics, and intelligent systems.

My work combines software development, analytics, machine learning, and practical systems design.

Software Engineering

Building business applications, desktop systems, APIs, and cloud-connected software with maintainability and usability in mind.

Data Analytics & Data Science

Turning raw data into meaningful insights through statistical analysis, dashboards, visualization, predictive modeling, and machine learning.

Applied AI

Designing technology around real operational challenges and transforming workflows into practical digital solutions.

Featured Work

Selected projects and systems I've built.

Practical software and data-driven solutions designed around real operational needs.

Software Engineering • Business Systems

InventraPOS

Point-of-Sale & Inventory Management System

A desktop business application supporting sales, inventory management, customer records, reporting, and cloud-connected synchronization.

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Technologies

React Electron JavaScript SQLite Cloud APIs Git

Offline-first architecture

Two-way cloud synchronization

Inventory & sales management

Desktop business application

Selected Work

Projects across software, analytics, data science, and AI.

A selection of applied projects focused on solving practical problems through software development, analytics, and intelligent systems.

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Software Engineering

Care Reporting System

A reporting platform designed to transform structured care documentation into monthly summaries, trends, and actionable operational insights.

Reporting
Automation
AI

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Data Analytics

Inventory Analytics

Data analysis and predictive modeling focused on inventory patterns, demand behavior, and better operational decision-making.

Analytics
Prediction
Visualization

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Machine Learning

MNIST Digit Classification

A machine-learning project exploring handwritten digit recognition, model training, performance evaluation, and classification accuracy.

Machine Learning
Classification
Python

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Research

Exploring data, intelligent systems, and applied technology.

My research interests connect data science, analytics, artificial intelligence, software systems, and practical problem-solving.

I am particularly interested in how analytical and intelligent systems can support better decisions, automate repetitive processes, and improve real-world operational workflows.

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About

Software, data, and practical problem-solving.

I combine a Computer Science foundation with graduate-level Data Science and Analytics work to build software, analytical systems, and intelligent solutions.

My experience includes full-stack development, desktop applications, business systems, cloud-connected software, data analysis, visualization, machine learning, and predictive modeling.

I am especially interested in applying technology to real operational challenges and turning complex workflows into clear, usable systems.

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Let's Connect

Have a project, opportunity, or idea worth discussing?

I am open to conversations around software engineering, data analytics, data science, AI, and applied technology.

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