- NIMSHA FERNANDO -

Building Innovative Solutions with Code and Creativity

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

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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

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Petfinity

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

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Morse Code Translator

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

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Inventory Management System

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

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Responsive Turtle Website

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

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Portfolio Website

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

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Phytosense

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

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SYOS Project

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

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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.

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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.

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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.

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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.

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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

HTMLHTML
CSSCSS
JavaScriptJavaScript
ReactReact
Next.jsNext.js
Framer MotionFramer Motion
Three.jsThree.js
BootstrapBootstrap
Tailwind CSSTailwind CSS
Flutter (Dart)Flutter (Dart)

Backend Development

PythonPython
PHPPHP
JavaJava
C#C#
LaravelLaravel

Tools Used

Visual Studio CodeVisual Studio Code
Visual StudioVisual Studio
Microsoft SSMSMicrosoft SSMS
GitHubGitHub
GitBashGitBash
IntelliJ IDEAIntelliJ IDEA
PHP StormPHP Storm
Android StudioAndroid Studio
MySQLMySQL
JIRAJIRA
ClickUpClickUp
FigmaFigma
AsanaAsana
ConfluenceConfluence
NotionNotion

My work experience

My Education Journey

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Colombo South International College (CSI College)

Completed Pearson Edexcel International GCSE & Advanced Level

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Australian College of Business and Technology (ACBT)

University Diploma in Science, Computing / IT

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Asian Pacific Institute of Technology (APIIT)

BEng (Hons) Software Engineering