img
Tharushi Nethmini

Hey, I'm Tharushi Nethmini

Quality Assurance Engineer

About Me I am a detail-oriented and motivated QA Engineer with a strong foundation in software testing principles, including manual and basic automation testing. I hold a Bachelor of Information and Communication Technology from Asia e University, where I developed a solid understanding of software development and quality assurance processes. I have hands-on experience in writing test cases, identifying bugs, and ensuring software quality. With knowledge of SDLC, STLC, and various testing methodologies, I am passionate about delivering reliable, user-friendly applications and eager to contribute to a dynamic team while continuously learning and growing in the QA field.

Get to know me!

Hey! I'm Tharushi Nethmini a passionate Quality Assurance Engineer located in Galle, Sri Lanka. I’ve worked on remote projects for agencies, consulted with startups, and collaborated with talented teams to help build and refine digital products across a range of industries.

I’m deeply interested in digital products and their user experience. Over the years, I’ve tested and explored hundreds of web and mobile applications, giving me a sharp eye for detail and usability. I enjoy ensuring products meet high standards of quality, functionality, and performance.

Whether it's manual testing, writing test cases, or improving processes, I take pride in helping teams deliver reliable and user-friendly software. Feel free to reach out—I'd love to connect!.

Contact

My Skills

HTML
CSS
JavaScript
Java
Spring Boot
Angular
Node.js
React
GIT
MySQL

Featured Projects

Software Screenshot

Flexy Gym & Fitness AI-Based Personal Workout Schedule Recommendation System

This project presents an AI-powered personal workout schedule recommendation system designed for Flexy Gym & Fitness. It addresses the growing demand for personalized fitness plans by automating workout schedule generation using machine learning. The system considers individual user attributes such as age, gender, weight, height, and fitness goals to generate tailored exercise programs. Built with a full-stack architecture including Python (ML), Spring Boot (backend), Angular (frontend), and MySQL (database), the system enhances gym efficiency, reduces trainer workload, and improves member satisfaction. It also includes video tutorials, progress tracking, and secure member data management.

Case Study

Contact Feel free to reach out—I'd love to connect!