04 — Selected work

Portfolio

Projects spanning machine learning, expert systems, full-stack apps, IoT, and entrepreneurship.

NERO° product
HTML/CSS/JSE-Commerce
NERO° — Automotive Care Brand

E-commerce brand site built for an automotive care line, with Shopee checkout and Netlify deployment.

Visit site →
Rain Prediction KL Weather screenshot
PythonML
Rain Prediction — KL Weather

Python model comparing Decision Tree, SVM & Logistic Regression to forecast KL rainfall.

View details →
Career Path Recommendation screenshot
CLIPSExpert System
Career Path Recommendation

CLIPS expert system using forward chaining to match student skill profiles to career paths.

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Homestay Booking & Management screenshot
C++MySQL
Homestay Booking & Management

Full-stack C++/MySQL system for room management, reservations, billing & reporting.

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Flood Detector IoT early warning screenshot
ArduinoIoT
Flood Detector — IoT Early Warning

Arduino Uno system using water-level, ultrasonic & float-switch sensors with buzzer/LED flood alerts.

View details →
05 — Capabilities

Skills

AI & Machine Learning

Building ML models, fuzzy logic systems, genetic algorithms, and knowledge-based expert systems for intelligent decision-making.

Programming

Proficient across Python, Java, C++, JavaScript, and SQL for diverse software development needs.

Python C++ PHP JS

Web Dev

Responsive websites with HTML5, CSS3, Bootstrap, and JavaScript, deployed on Netlify/Vercel.

nerocare.netlify.app

Software & Tools

Hands-on with Git, VS Code, MySQL, MATLAB, Figma, and SAS for design and analysis.

Git VS Code MySQL Figma

Leadership

Student Representative Council, outlet supervision, and founding NERO° automotive.

> Student Council (MPP)
> Barista Supervisor

Embedded Systems & IoT

Microcontroller systems with Arduino (Uno) and ESP32 — wiring water-level, ultrasonic, and float sensors with buzzers/LEDs into flood-warning prototypes.

[SENSOR] DHT22: 31.2°C
[SENSOR] Water: HIGH (85cm)
● ALARM ACTIVE

Future Focus

Diving into localized LLM architectures, RAG pipelines, and Ollama workflows.

Ollama RAG
Personal qualities

How I work

Adaptable

Quick to adjust to new roles

Self-Driven

Takes initiative

Team Player

Collaborates well

Detail-Oriented

Attentive to what matters

Curious

Always learning

Resilient

Delivers under pressure