Full-Stack Developer (Back-End)

June 2024 - Present

Treinetic (Pvt) Ltd

• Developed back-end services using Spring Boot, Flask, and Django.
• Designed and implemented RESTful APIs, integrated third-party APIs, and optimized database queries for performance.
• Worked on database management using MySQL and MongoDB, implementing indexing and efficient query strategies.
• Developed and maintained microservices-based architectures, ensuring scalability, modularity, and efficient service communication.
• Designed system architecture for complex applications by creating ER diagrams, class diagrams, use case diagrams, activity diagrams, architecture diagrams, and sequence diagrams.
• Integrated automated email notifications and user alerts using SMTP and AWS SES.
• Configured and managed AWS S3 for cloud storage, handling secure file uploads and access control.
• Implemented authentication mechanisms, including JWT-based authentication and role-based access control.
• Worked on message queuing systems (Celery) to handle asynchronous operations.
• Contributed to testing and quality assurance, using tools like Postman for API testing and JUnit for unit testing.
• Developed software solutions for enterprise clients, improving workflow efficiency and security measures.
• Participated in Agile development methodologies, attending daily stand-up meetings, sprint planning, and code reviews.

Technologies: Spring Boot, Flask, Django, React, Python, SMTP, Celery, OpenAI API, AWS S3 Bucket, MongoDB, MySQL, GitHub, Microservices

BACHELOR OF INFORMATION AND COMMUNICATION TECHNOLOGY - HONOURS

2020 - 2025

Faculty of Technology, University of Ruhuna, Sri Lanka

• GPA - 3.89 out of 4.0
• Gold Medal for obtaining the highest GPA in the department.
• Dean’s List for best overall performance in the faculty - 2022/2023.
• Member of Delegate Team - Indian Institute of Technology, Madras Visit (Apr 2024).
• Mentor - ICTSC Ruhuna, University Student Mentoring Program.
• President - Cultural Circle (2022).

G C E ADVANCED LEVEL EXAMINATION

2018

Mahinda Rajapaksha College Matara

G C E ORDINARY LEVEL EXAMINATION

2015

Thalalla North Darmavijaya M.V

Road Double Line Violation Detection Using Deep Learning

2024

Published in RICIT 2024 Conference Proceedings

• Developed a YOLOv8 and OpenCV-based solution for real-time road rule violation detection.
• Achieved 90.2% precision and 87.0% recall on a dataset of 2,500+ annotated vehicle images.
• Implemented lane marking analysis and violation severity assessment algorithms.

Google Hash Code Participation

Sep 2022

Google

AI/ML Engineer

SLIIT

AWS Educate Introduction to Cloud

AWS Educate

Amazon Web Services Training and Certification

Introduction to Cybersecurity

CISCO

Cisco Network Academy

Introduction to Generative AI

Google

Google Cloud Skills Boost

JavaScript Essentials

CISCO

Cisco Network Academy

Oracle SQL Explorer

Oracle

Oracle University

Microsoft AI Challenge

Microsoft

Microsoft