Paramie Jayasinghe

Being a quick learner, I prefer to learn new technologies. I am passionate about working in a competitive and innovative environment. My objective is to pursue a career that allows me to utilize my knowledge while enjoying and learning further.

Course: CS

Machine learning, Data Analytics, Natural Language Processing

Technical Skills: 
Java, Spring MVC, Sprint Boot, Python, Linux, Maven, JBoss, WildFly, JPA, Oracle Database, JavaScript, MySQL , Git

Project Experience

Project Pay In VoucherDeveloped an enterprise web application which automates the banking services of Ceylon Electricity Board
(one of the major projects in CEB)
Technologies Used : Spring MVC Framework, Maven. JBoss, WildFly, JPA, Oracle Database, Sprint Boot

UCSC VideoBay – Online Learning Environment for UndergraduatesInteractive virtual learning environment that contains lecture videos synchronized with lecture slides
Technologies Used : PHP, HTML5, CSS Styling, JavaScript

SEE MORE” – A Project On Eye HealthDeveloped a platform to detect the level of vision loss of a person. This platform allows someone to detect visual impairments through the tests that we have introduced.
Technologies Used : PHP, HTML5, MySql Server, IdeaMart SMS API

iGroups – Social Networking ApplicationApplication which allows users to interact by creating groups and adding/joining users to the created groups
Technologies Used : PHP, Java script, HTML5, CSS, MySQL

Work Experience

  • Trainee Software Engineer at Ceylon Electricity Board, Information Technology Branch.
    Freelance Software Developer in Fiverr (Java, Python)

Achievements | Awards

  • Code Sprint 2015 (First Inter-University Hackathon) – First Runners Up (Organized by IIT with Dialog-IdeaMart )
  • iHack 2015-Second Runners Up (Organized by UCSC – ISACA Student Group in partnership with Millennium Information Technologies)
  • University of Colombo School of Computing – Academic Performance – Class : Second Upper

Final Year Project

Rating The Credibility Of Online News Stories

Project on finding an approach to rate the credibility of Online news stories. Main objective is to find an algorithm to produce a network of news websites based on their credibility. Here linguistic and network feature based analysis are being used in order to predict credibility measures.