Software Engineering • Data Analytics • Data Science • AI

Building practical technology for real-world problems.

I build software and data-driven solutions using software engineering, data analytics, data science, and artificial intelligence to solve practical real-world problems.

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GitHub LinkedIn

const profile = {
  name: "Enock Kirui",
  focus: [
    "Software Engineering",
    "Data Analytics",
    "Data Science",
    "Artificial Intelligence"
  ]
};

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.

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Data Analytics & Data Science

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

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Applied Systems

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

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Featured Project

InventraPOS

A point-of-sale and inventory management system designed for reliable daily business operations.

Software Engineering • Business Systems

Built for sales, inventory, reporting, and synchronized operations.

InventraPOS is a desktop business application that supports sales transactions, product management, inventory tracking, customer records, reporting, and cloud-connected synchronization.

Point-of-sale transaction workflow
Product and inventory management
Customer and sales records
Local SQLite data storage
Cloud synchronization
Desktop application architecture

React
Electron
SQLite
Node.js
Cloud Sync

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Project Preview

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.

Contact Me View Resume