Ramesh K.
Junior Software Developer
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Ramesh K. is a third-year Software Engineering undergraduate at the University of Kelaniya, Sri Lanka, with a significant focus on full-stack application development, data analytics, and machine learning projects. He has developed proficiency in creating scalable web applications using the MERN stack and Spring Boot. Ramesh's expertise extends to Python-based data preprocessing, exploratory data analysis, and predictive modeling. Among his notable individual projects, he engineered a MERN-based eCommerce platform, integrating secure JWT authentication and scalable deployments using Docker, and developed a movie and gaming platform with AI-powered features. Additionally, he has executed a customer churn prediction system leveraging Python's Scikit-learn and built an interactive healthcare analytics dashboard using Microsoft Power BI. His skill set includes advanced capability in React.js, SQL, RESTful APIs, and dynamic data visualization tools, contributing to his competence in addressing real-world business problems through data-driven solutions.
Experience
Individual Project Developer
Friutflow · 2026 — PresentDeveloped a full-stack eCommerce platform utilizing the MERN stack with over 10 RESTful APIs. Constructed more than 15 responsive React.js components with Tailwind CSS, and integrated secure JWT authentication along with role-based authorization workflows. Created systems for product browsing, filtering, cart management, and order processing. Utilized Docker Compose for the containerization of application services to ensure scalable deployment.Individual Project Developer
FGhub · 2026 — PresentCreated a comprehensive platform for movies and gaming using React.js and Spring Boot. Designed a scalable backend system featuring secure JWT authentication and developed a rating and review mechanism that supports over 100 media records. Constructed more than 12 responsive UI components for user interaction and browsing, and integrated AI-driven recommendations along with 8+ RESTful APIs. Employed MongoDB and Docker for data management and deployment.Individual Project Developer
Customer Churn Prediction System · 2026 — PresentEngineered a complete solution for predicting customer churn using Python and Scikit-learn. Conducted data preprocessing, feature engineering, and exploratory data analysis on telecom datasets. Developed a Random Forest classification model for churn prediction and created an interactive Streamlit dashboard for real-time insights. Organized the entire ML pipeline from data processing to model deployment.Individual Project Developer
Health Survey Dashboard · 2026 — PresentConstructed an interactive healthcare analytics dashboard utilizing Microsoft Power BI. Processed health survey datasets through Power Query and Excel, and designed KPI-driven visualizations to analyze health trends and lifestyle patterns. Developed dynamic dashboards for survey analysis and generated data-driven insights while managing dashboard design, data modeling, and visualization workflows independently.
Skills & Expertise
Education
- B.Sc.(Hons.) Software EngineeringUniversity of Kelaniya · 2024 — Present
- G.C.E. Advanced LevelSir John Kothalawala College · 2021 — 2023