Damiru
Gamage

QA Highlights

• Integrated an automated faithfulness-verification pipeline: claims extracted from AI output are verified against source text using semantic retrieval and Natural Language Inference (NLI).
• Built a self-correction loop that regenerates explanations falling below a quality threshold ensuring pedagogically sound, faithful outputs.
• Designed controlled experiment protocol with 20–30 CS undergraduates comparing comprehension and one-week retention across three conditions (original text, unstructured LLM, VeriLearn).

Dev Highlights

• Built a FastAPI async REST API with 10 endpoints, PostgreSQL + SQLAlchemy 2.0 ORM, and JWT/bcrypt authentication.
• Engineered a WebSocket broadcast system for live activity updates across all connected clients with interactive Recharts visualizations.
• Implemented a fully custom glassmorphism dark UI — no CSS frameworks — with SSR on Next.js 16 TypeScript frontend.

Dev Highlights

• Developed an AI-powered attendance system with real-time face recognition and live camera streaming via a Flask web interface.
• Built attendance logging and notification features with emotion detection using dlib and OpenCV pipelines.

QA Highlights

• Authored 25+ test scenarios targeting face detection edge cases, attendance marking logic, and email notification flows.
• Exposed low-light and camera-access failures through real-world environmental testing, tracked fixes through full regression cycles.
• Validated liveness and emotion detection pipelines under varied lighting and face-angle conditions.

Dev Highlights

• Developed a role-based web application with real-time notifications and workflow management to handle accident, complaint, and certification processes.
• Built customizable reporting flows and user-friendly modules across the MERN stack.

QA Highlights

• Designed and executed 40+ manual test cases for accident reporting, complaint management, certification tracking, and procedure change request modules.
• Performed API testing using Postman to validate backend endpoints.
• Logged and tracked defects through their full lifecycle ensuring clear reproduction steps and status updates for developers.
• Validated role-based access, approval workflows, notifications, and report generation.

Dev Highlights

• Built responsive UI components and real-time event features including RSVP tracking, voting, comments, and role-based access control.
• Integrated Firebase Auth, Firestore real-time sync, Recharts for analytics, and organization-level data isolation.

QA Highlights

• Designed and executed 30+ test cases for features such as event creation, voting, RSVP tracking, and comments.
• Implemented unit tests with Jest & React Testing Library.
• Validated Firebase auth and real-time sync with full defect documentation across release cycles.

QA Highlights

• Building a test automation framework using Selenium and TestNG with the Page Object Model design pattern.
• Creating reusable wrapper methods and structured automation, application, and test layers.
• Executing regression test suites via TestNG XML, with Extent Reports and screenshot capture on failure supporting pre-release quality gates.

Dev Highlights

• Built a deep learning image denoising application using CNN models with a Flask-based web interface for image upload, processing, and result preview.
• Designed the frontend interaction flow and validated image quality using PSNR, SSIM, and MSE metrics.

Dev Highlights

• Designed a multi-agent system in Python simulating real-world bookstore workflows, applying object-oriented and rule-based logic for automated decision-making.
• Built an interactive GUI for real-time visualization of system behavior and agent interactions.

QA Highlights

• Tested ontology-based bookstore simulation with customer and employee agents.
• Designed scenarios for agent browsing, purchasing, and restocking.
• Validated SWRL rule logic and inter-agent communication.
• Identified logic errors and simulation edge cases through exploratory GUI testing.