14000522_umesh

Umesh Jayasinghe

I enjoy problem-solving and innovative thinking


Email: prabushitha@gmail.com
Phone: 0719990542
Course: CS

Interests: Pattern Recognition, Machine Learning, Computer Vision, Information Security, Middleware Architecture, Blockchain Architecture, Data
Analysis and Parallel Computing

Technical Skills: Java SE/EE, Web Technologies (Node.js, React, Redux, Angular 2+, PHP), C/C++

Project Experience

● Internal User Management Application : Managing internal user profiles and permissions.
● WalkMode – Smartphone Assistant Hardware device for smartphones and a mobile application which
can trigger obstacles in front or below and notify the user before any severe accidents.
● CPSTL Smart Mapping – Distance, route and real-time mapping solution for Ceylon Petroleum Storage
and Terminals Limited.
● Programming Teacher – Android Application Interactive game based programming and algorithm
learning application.
● EtherBeat – Tools to extract Ethereum blockchain from geth and parse blockchain into an analyzable
relational structure.

Work Experience

● Sysco LABS – Software Engineering Intern – 2017/2018 (6 months)
● Felidae/Headstart – Trainee Software Developer Consultant – 2013/2014 (1 year)

Achievements | Awards

● World Champions – Thinkquest Application Development U19 2011 (55 Countries)
● WINNER – Janashakthi Appathon Challenge 2016
● WINNER – National Information Security Quiz 2017
● WINNER – Young Computer Scientist Competition 2010
● Completed Google Summer of Code 2018
● Youth Encouragement Award at e-Swabhimani 2012
● 1st Runner-up – Microsoft Imagine Cup 2016 Sri Lanka Games Category
● 2nd Runner-up – Microsoft Imagine Cup 2016 Sri Lanka Innovation Category
● 2nd Place – Cruncher Game Development Challenge 2011
● 2nd Place – iHack Hackathon 2015

Final Year Project

A Framework for Real-Time Arrhythmia Classification

Aim of this work is to support the detection process of heart rhythm irregularities through a deep
learning model in a real-time approach and to incorporate contextual information to the classification
model.