Manasha Wijesurendra

An enthusiastic, self motivated and reliable undergraduate with technical and communication skills who is willing to learn and develop new skills and undertake challenges.

Email: manasha.wijesurendra@gmail.com
Phone: 0775010546
Course: CS

Interests:Distributed systems, Data analytics, Web design and development, Reading, Travelling

Technical Skills: Java, C, Python, PHP, JavaScript, REST, Angular, SQL

Project Experience

DMA Platform (Internship project)
A direct market access platform developed for the “super user” (liquidity provider) in order to directly trade with an external stock exchange.
Technologies – Java, PostgreSQL, Reactor Core, Rapidoid, ScaleCube, JUnit, Cucumber
Leave Management System
A MEAN stack application for sending and handling leave requests, developed for the academic office of UCSC.
Technologies – HTML, CSS, Angular, Node.js, MongoDB, Express
PortalS Store
A web based eCommerce platform where sellers can register to advertise and sell their products to customers.
Technologies – HTML, CSS, Bootstrap, Codeigniter and MySQL
A web based appointment management system for Medro Dental Clinic. Patients are given their own profile
with treatment history. Patients can also make and manage appointments.
Technologies – HTML, CSS, Bootstrap, Codeigniter and MySQL
A Java based Hospital Management System with the ability to make and manage appointments, maintain
employees’ and patients’ profiles, enter and view medical test results of patients.
Technologies – JavaSE, Swing, MySQL
A Java based Restaurant Table Reservation System with concurrency control.
Technologies – Java RMI, MySQL
An android app aimed at providing emergency health care services.
Technologies – Android Studio, Google Location API, Google Direction API, Google Places API, vidyo.io API

Work Experience

Ustocktrade (Pvt) Ltd
Software Engineer (Intern)
August 2018 – February 2019
Sustainable Computer Research Group (SCoRe)
Google Code-in Mentor
December 2016 – January 2017

Achievements | Awards

Winner – MedHack 2017
Mobitel Innovation Centre – September 2017

2nd Runner up – UCSC pre-IEEEXtreme
IEEE Student Branch of UCSC – September 2017

4th Place – SHECODERess
WIE Student Branch of Uva Wellassa University – June 2017

Finalist – Hackaholics 2.0
WIE Student Branch of UCSC – October 2017

Finalist – HackX 2016
Department of Industrial Management, University of Kelaniya – September 2016

Final Year Project

Real-Time Physiological Stream Processing for Advanced Clinical Decision Support

• Aimed at developing a real time system for stream processing a large number of physiological signals and detect anomalies by aggregating them. Furthermore using the historical data of anomalies, it is intended to correlate the critical conditions that occurred irregularly during a period of time, in order to obtain a bigger and a clearer view of the patient’s condition for providing physicians and clinical decision makers, with better ways of treating the patients.