Hiruni Kegalle

A focused Computer Science graduate with a passion to achieve the best possible outcome in every task involved in. As a hardworking and motivating person who have the ability to balance multiple competing priorities, I will be able to contribute for the progress of the organization. Aiming to obtain a place on a graduate scheme, which provides the opportunity for progression

Email: hirunikegalle@gmail.com
Phone: +94 716518189
Course: CS

Interests: Data Analytics, Machine Learning, R&D Software Engineer Technical Skills: Python, Java, MySQL, Oracle

Technical Skills: Python, Java, MySQL, Oracle

Project Experience

Home Automation System: Intension of this project was to make household activities simple by fully or
partially automating them. Implementation of a web application and a mobile application was done along
with several hardware implementations.
Technologies used: Raspberry PI, Arduino, Python, Mongo DB

Image Recognition Application: This project was a research based template matching for recognising and
categorising images.
Technologies used: Python, OpenCV, Tensorflow

Asiri Textiles Online Shopping: This is a web based shopping module for a textile shop using MVC
architecture with the aim of introducing online shopping for the customers.
Technologies used: HTML, PHP, JavaScript, MySQL

Work Experience

  • Intern Database Engineer (Axienta Pvt. Ltd.): PL/SQL Implementation of data manipulation tasks in Oracle
    Databases with triggers and procedures. Generation of reports using SQL Server Reporting Services.
    Dashboard and Report creation with Power BI.

Achievements | Awards

  •  Best Girl Guide of the School award – 2009
  • Championship award for Dehigama memorial Hike – 2010
  • Runners-up in 2nd year Best Software product Compitition – 2015

Final Year Project

A solution for the Occlusion Problem

The aim of this research is to find a solution to the problem of hand
occlusion encountered in the Virtual Reality (VR) based training application for Cardiopulmonary Resuscitation (CPR). A wearable glove with photodiodes will be implemented in order to track the finger positions.
Technologies used: HTC Vive, Teensy, Unity 3D, C#