- NIMSHA FERNANDO -
Hi! I'm Nimsha, a passionate software engineering undergraduate at APIIT University in Sri Lanka. I’m driven by technology’s power to solve real-world problems and always eager to learn and build innovative, user-centric applications.
A small selection of recent projects


MintWatch
A Flutter e-commerce app with a Laravel backend, featuring a responsive frontend and a custom admin panel for managing products, orders and reviews


Petfinity
Developed a progressive web app for pet care with features like profiles, appointment booking, and analytics using Laravel, JavaScript, and MySQL.


Morse Code Translator
Built a Morse code translator using a binary tree structure with added security through code reversal using Java.


Inventory Management System
Built an inventory management system with a external transaction log using C# and MySQL.


Responsive Turtle Website
Developed a website for turtle enthusiasts with a ticket booking system using HTML, CSS, and JavaScript.


Portfolio Website
Developed a mordern portfolio website using Next JS and framer Motion with the usage of React


Phytosense
AI-driven workflow for medicinal plant classification using deep learning, QSAR modeling, and cheminformatics to predict EGFR inhibition potential for oral cancer.


SYOS Project
Designed and implemented a Java-based POS and stock management system implementing concurrency and design patterns under SOLID principles.


MDS: Mosquito Detection System
Fine-tuned a YOLOv8s model on the MosquitoFusion dataset to detect mosquitoes and breeding sites in real-time with multi-scale detection and risk classification deployed via Gradio.


CardioRisk AI
Built an end-to-end ML pipeline on the Framingham Heart Study dataset using XGBoost achieving 0.79 ROC-AUC, deployed with Gradio UI for real-time CHD risk prediction and model comparison.


Sinha-Sign: Sign Language Translator
Fine-tuned an InceptionV3 model for real-time Sinhala sign language translation with 93% accuracy, integrated OpenCV hand detection, and deployed with live translation and audio synthesis.


Skin-Oil: Oiliness Detection System
Developed an unsupervised pseudo-labelling pipeline using K-Means clustering and MobileNet CNN to classify four facial oiliness levels with in-browser webcam capture and confidence visualization.


APIIT Intern Management System
Built a multi-role web platform for internship lifecycle management with analytics dashboard, CSV/Excel import/export, and role-based access control using Laravel and Tailwind CSS.
A showcase of my technical expertise
Frontend Development
CSS
JavaScript
Next.js
Three.js
BootstrapBackend Development
C#
LaravelTools Used
Visual Studio Code
Visual Studio
Microsoft SSMS
GitBash
IntelliJ IDEA
PHP Storm
Android Studio
MySQL
ClickUp
Figma
Asana
NotionMy work experience
My Education Journey

Colombo South International College (CSI College)
Completed Pearson Edexcel International GCSE & Advanced Level

Australian College of Business and Technology (ACBT)
University Diploma in Science, Computing / IT

Asian Pacific Institute of Technology (APIIT)
BEng (Hons) Software Engineering
