Maneesha Perera

I learn fast from people and machines and apply them to get the best out of the task at hand. I believe learnability is greater than knowledge.

Course: CS

Interests: Travelling, Writing, Volunteering

Technical Skills: Python, C, C++, R, MATLAB, HTML, CSS, Octave, SQL, PHP, PostgreSQL, PostGIS, Azure DocumentDB, Azure KeyVault, JavaScript, AngularJS, NodeJS, QGIS, Git, TFS, Algorithms, Machine learning, Data Analytics

Project Experience

Central Chest Clinic Borella– PHP, MYSQL, JavaScript
Web Based information and administrative System for the chest clinic to track patient medical records and medical history.

99X Technology Intern’s Portal – AngularJS, AWS Dynamodb, AWS Lambda, AWS Cognito
A system developed to store information about the interns working in the company and to track the performance of those individuals.

Project SPN – C#, .Net, C++, TFS (version controlling), SQL Server
SPN (System Partner Norway) is a leading debt collection solution provider in the Nordic region having over 300 customers spanning 10 countries and serving nearly 6000 users daily.

Payment Platform– AngularJS, NodeJS, Azure DocumentDB, Azure KeyVault, Azure AD
A payment platform for people to carryout transactions.

Work Experience

99X Technology

Former Trainee Software Engineer (2016 September – 2017 February)

AIESEC – University of Colombo (Colombo Central Local Committee)

Vice President – Talent Management 2015/2016

Achievements | Awards

  • University of Colombo School of Computing – Academic GPA – 3.84
  • AIESEC – University of Colombo – Excellentia Awards Night 2015
  • Best Member Public Relations – Global Community Development Program
  • AIESEC – University of Colombo – Excellentia Awards Night 2015
  • Most Sustainable Project – Project MDG (Millennium Development Goals) 2.0

Final Year Project

Refinement of Existing Road Vector Layers Through High Resolution Satellite Images

The project focuses on vector data conflation under Geographic Information Systems (GIS) and aims to propose an algorithm to align the road network represented in the vector data format with the road layer represented in the satellite images of Google Maps.