Thilanka Bowala

Thilanka Bowala

A highly organized fresher, a good team player and a quick learner, and keen to work in an ever changing dynamic environment.

e-mail: | phone: +94710403098 | Course: CS

A good team player, seeking a challenging position in the field of Software Engineering, which I can use my knowledge and problem solving skills to benefit the organization and myself.

Interests: Big Data, Time series analysis

Technical Skills: Java 7, JavaScript, XML, PHP, HTML, CSS, C, C++, MySQL, Oracle, Apache Maven, Apache Ant, Apache Axis 2, OSGi, Disruptor 3.3.2, JMS 1.1, AMQP 0.9.1, MQTT, SoapUI, Git, Atlassian JIRA, TestNG, Apache JMeter, Selenium IDE, Bootstrap, CodeIgniter, Joomla, jpountz lz4

Project Experience

Introducing lz4 compression algorithm to WSO2 Message Broker
Intern project (Individual), Scope of work: Implemented the feature in the product; wrote automated tests; completed the documentation and conducted the performance test. (From WSO2 MB 3.1.0 onwards).

Web-based system for audio monitoring
A web-based system for Outstanding Song Creators Association – Sri Lanka (OSCA) to monitor broadcast details of radio stations in Sri Lanka, to enforce copyright law and to pay artists.

Daham Pasal Student Management System
As a charity work, to manage student details

Work Experience

WSO2 Lanka (Pvt) Ltd: Software Engineering Intern (15.08.2015 – 14.02.2016), Experiences: Intern project and bug fixes.

Achievements | Awards

• Diploma in Network Administration(2013) – First Class Distinction
• Diploma in Business Management and Human Resource Management(2013) – Distinction
• Diploma in IT and Software Development(2012) – First Class Distinction
• Corporal of St John’s Ambulance: 2008-2010 (Member: 2005-2010)
• Certificates of Bhatkhande Sangit Vidyapith, Lucknow, India – 2004-2006
• Certificates of Lionel Edirisinghe Performing Art Centre – 2003
• Certificates of Educational Institute of Humanities, Sri Lanka – 2000-2005

Final Year Project

Implementation of time series data clustering based on SVD(Singular Value Decomposition) for stock data analysis on Hadoop platform

Final year research project, to develop a prototype for time series data clustering, in order to facilitate stock data analysis. This involves a method to cluster big time series data and time series prediction. Hadoop and Hadoop related processing tools will be used.

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