Tharindu Silva

Delivered reliable retail technology solutions by deploying, optimizing, and supporting POS and precision weighing systems in high-volume retail environments. Specialized in system diagnostics, hardware-software integration, and client enablement to improve uptime and operational accuracy.

• Deployed and configured POS systems tailored to client infrastructure, improving retail system uptime and stability.
• Calibrated and maintained high-precision Magellan weighing scales, ensuring accurate measurements in production retail environments.
• Resolved 95%+ of incidents on first contact using structured diagnostics, log analysis, and remote support tools.
• Reduced repeat issues by creating internal documentation and contributing to a shared troubleshooting knowledge base.
• Delivered one-to-one customer training on system operation and maintenance, increasing client self-sufficiency.
• Collaborated with third-party vendors to integrate POS and weighing platforms, improving cross-system reliability.

Focus: POS Systems, Windows, Hardware Diagnostics, Networking, Customer Enablement, Knowledge Base Optimization

Contributed to Skapp, a multi-tenant business workflow platform built with Spring Boot and AWS, focusing on backend architecture, automation, and secure authentication.

• Built 50+ RESTful APIs in Java using Spring Boot, achieving 80%+ unit and integration test coverage.
• Implemented and managed AWS Cognito (OAuth2) authentication for 100+ users in a multi-tenant environment.
• Designed a scalable multi-tenant architecture using AWS Cognito and Route 53 for automatic subdomain provisioning.
• Developed AWS Lambda functions to automate backend workflows and handle dynamic user data.
• Worked within a 10-member Agile team, contributing to sprint planning, code reviews, and technical documentation.

Focus: Spring Boot, Java, AWS Cognito, AWS Lambda, AWS Route 53, MySQL, JPA, Git, Agile

Supported the development of ServiceTag, an auto repair shop management platform using .NET Core, React, and SQL technologies.

• Developed and integrated REST APIs in .NET Core to support core system modules.
• Built customer and repair management modules with React and TypeScript.
• Designed and optimized relational SQL databases ensuring performance and data integrity.
• Worked within a small agile team to deliver a functional product prototype within 3 months.

Focus: .NET Core, C#, ReactJS, TypeScript, SQL, Git, Agile

First Class Honours

• Coursework included object-oriented programming, databases, machine learning, concurrent programming, and mobile app development.

• Built a real-time messaging platform with Next.js and Spring Boot supporting instant messaging, typing indicators, and webhook-based notifications.
• Implemented end-to-end encryption (E2EE) for secure message exchange using client-side cryptographic keys.
• Integrated ChatGPT APIs to provide AI-assisted replies and conversational tools within the chat interface.
• Used Clerk for authentication and user management with secure session handling
• Containerized services using Docker and deployed to Google Cloud Run via automated CI/CD pipelines
• Optimized WebSocket communication, achieving <100 ms message latency in real-time interactions.

• Developed a cross-platform fitness app using React Native and Spring Boot to help users achieve personalized weight-loss goals.
• Built and integrated a regression model that accurately estimated calorie expenditure based on user activity data.
• Implemented secure authentication and authorization workflows with Spring Security, ensuring user privacy and data integrity.
• Optimized backend endpoints for faster data retrieval, improving overall app responsiveness by over 25%.

• Developed an AI-driven health application that predicts BMI and BMR from facial images using a VGG16 deep-learning model.
• Achieved a mean absolute error below 3 kg/m² on test data, demonstrating strong model precision.
• Integrated AWS Cognito with two-factor authentication to ensure secure user access.
• Deployed backend Flask services through AWS Elastic Beanstalk with an RDS database and automated CI/CD via CodePipeline.