Anupama Arukgoda

A high-spirited, self-driven individual with a keen interest in Computer Science and Data Science, eager to bring in the best to my work-place.

Email: anupama.arukgoda@gmail.com
Phone: 0770731900
Course: CS

Interests: Data-analytics, Machine Learning, Database, Natural Language
Processing, Reading, Chess

Technical Skills: Java, MySQL, JavaScript, Python, PHP, CodeIgniter, TestDriven-Development, Neural Machine Translation

Project Experience

SimulScan Test Time Analysis – 2017
A client side web application, that would graphically represent the test-data generated by SimulScan testing tool.
Bluetooth SSI Protocol Verifier – 2017
Implementing a test tool to verify the functionality of a ring-scanner called RS507 of Zebra and to identify any issues
related to the SSI communication between the scanner and the host.
RaftWithUs – 2016
A website for the Sri Lankan Kithulgala Adventure Providers, to advertise their services and offers on a common
platform that can be reached by interested customers across the world.
StudySmart – 2016 A student learning management system together with a virtual learning environment.

Work Experience

Interned at Zebra Technologies, Nawala as a member of Engineering Test Group – 2017 August to 2018 January

Achievements | Awards

Nominated for the UCSC Industrial Placement Award 2017
National Finalist in Imagine Cup – Innovation Category 2016 – MeasureWire
National Finalist in Imagine Cup – Gaming Category 2016 – GameOfThoughts
Champion in the Western Province Individual Chess Championship – 2008

Final Year Project

Improving Sinhala – Tamil Translation with Deep Learning

Translation between Sinhala and Tamil are challenging as they are both morphologically-rich and low-resourced languages. While many European languages have achieved state-of-the-art translation accuracies, especially with Deep Learning, such proliferation has not been witnessed for Sinhala-Tamil translation. Sinhala-Tamil open-domain translation is yet to be explored. Our attempt is to address this gap in the body of knowledge.