Hi, I'm Kabilan

Automation Engineer | Software Developer | Cloud/AI Enthusiast

B.Eng (Hons) NTU (Nanyang Technological University) Electrical & Electronics Engineering

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About Me

Software Engineer with a background in Electrical and Electronics Engineering, combining strong engineering fundamentals with modern software development expertise. Experienced in building scalable software solutions and exploring data-driven and intelligent systems, with a strong drive to learn and deliver impact at scale.

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Years Experience

5+

Projects Completed

5+

Technologies Mastered

Skills & Expertise

Programming

Python
Java
HTML
CSS
JavaScript
SQL

Cloud & AI

Google Cloud
Amazon Web Services (AWS)
LangChain / TensorFlow
OpenAI API
Machine Learning / Deep Learning / Large Language Models

Tools & Frameworks

VS Code / Eclipse / XCode IDE
Git (Version Control System)
Flutter
Unity
Jupyter Notebook
Google Colab

Python Automation

Playwright (Web Automation)
OpenPyXL / Pywin32 (Excel / Email Automation)
BeautifulSoup (Web Scraping)
Pandas / NumPy (Data Processing)
Requests (API Handling)

Featured Projects

Python Automation Bots

Developed comprehensive automation solutions for web scraping, data processing, Excel manipulation, and email extraction/processing.

Python Web Scraping Excel/Email Processing

iOS Flutter App

Built an electromagnetic plane wave analysis application with graphical visualisation using Flutter framework.

Flutter iOS XCode Data Visualization

Dog vs Cat Classifier

Created a machine learning model achieving 98% accuracy using TensorFlow for image classification.

TensorFlow Keras Machine Learning

E-commerce Website

Developed a full-stack Gen-Z fashion store with modern UI, backend processing, and interactive features.

HTML/CSS PHP JavaScript MySQL

Educational Mobile Game

Led a 7-person team to create an engaging educational game using Unity and C# with custom animations.

Unity C# Blender Game Development

Mobile Pricing ML Model

Led development of a machine learning project for mobile price prediction with 96% accuracy using logistic regression.

Python Scikit-learn Pandas NumPy Data Analysis