chanika_dissanayake

Chanika Dissanayake

One thing I discover every day is that I love solving problems and my passion for computer science never grows old. Hence I discover new knowledge in any means people, environment.


Email: cdchanika@gmail.com
Course: CS

Interests:
Reading books and blogs, Travelling, Exploring trends

Technical Skills: 
Java, Python, C, C++, PHP, Javascript, MySQL, HTML5, Bootstrap, Node.js, React.js, MongoDB, Docker, Git, Linux, Database Designing

Project Experience

Integrating barcode reader to CAKE Point of sale machines
Implementing functionalities to support barcode reader to POS devices such as item search, bill creation, add items by barcode and so on. (React.js, Redux, Node.js, PHP)
Sales Demo
Adapt CAKE POS application as a multiple instance, cloud based application using docker (Docker, Node.js, AWS)
CV and Recruitment Management System (Resume Trekker) for IFS
A System which manages CVs and recruitment process in IFS R & D International, Sri Lanka aiding in gathering best human resource crew for the company. (PHP, Javascript, JQuery, HTML5, CSS3, MySQL)
See More – Test Your Vision
Web based application which focuses on identifying different vision impairments such as vision acuity and colour blindness and results can be shared over facebook. (PHP, Javascript, JQuery, AJAX, Bootstrap)
iGroups
Web application similar to a social networking application where users can interact by creating groups and adding users to the created groups. (PHP, Javascript, HTML5, CSS, MySQL)

Work Experience

  • Intern Software Engineer at Sysco Labs (Formerly Cake Labs Pvt Ltd.) from (September 2016 – February 2017)

Achievements | Awards

  • Code Sprint 2015, first inter-university hackathon – First Runners Up
  • iHack 2015 organized by ISACA student branch of UCSC- Second Runners Up
  • Nominated for Industrial Placement Award UCSC

Final Year Project

Authorship Verification based on Linguistic Features

Over the past years there have been many cases around authorship disputes and authorship analysis has become vital in mitigating cybercrimes, forensics, plagiarism detection etc. Authorship verification is a sub domain of authorship analysis and its roots lie in stylometry and machine learning. This project focuses on verifying the authorship of a document with regarding a suspected author when a set documents authored by him/her given.