Tharindu Lakshan

Highly motivated and hardworking individual who loves programming and problem solving. A team player seeking for an opportunity to work in a challenging environment. Knowledge seeker, sharer, and a fast learner.

Email: lakshankat@gmail.com  
Phone: 0717594991
Course: CS

Interests:Web development, Image Processing , Machine Learning, Game Development, Computer Graphics

Technical Skills: Java, C, Python, JavaScript, NodeJs, Angular, React-native , PHP, MySQL, MongoDB

Project Experience

Campaign Buddy [Client – Dyuro Technologies]
A Mobile app which allows brand promoters to update daily sales , request leaves and their supervisors to track their performance and location. Included features like offline data sync and memory optimization.
(React Native , Redux, Redux Saga, RN- Paper)
Project Evaluation Support System [Client – UCSC]
A web application which helps to evaluate final year projects of BIT students in UCSC.
(JAVA EE, AngularJS, Bootstrap, HTML, MySQL)
Database Connector [Client – Ayra Analytics]
A Desktop application which connects cloud-server and local databases and sends data, upon a request from the server or scheduled times
( Java SE, Maven,MSSQL , MySQL)

Work Experience

• Software Engineer – Intern | Zeptolytics (Pvt) Ltd (August 2018 – February 2018 )
• Volunteer at ‘Help To Code’ initiative by ICTA, Sri Lanka (2017)
• AOI Machine Programmer, Vario Systems Electronics (2014-2015)

Achievements | Awards

GCE A/L Examination 2014
All Island 2end place in ICT-Maths stream.
Awarded at HackX2017
organized by University of Kelaniya selecting for top 15 finalists
Proposed a solution called ‘Lexilapp’ – An Android application integrated with Google vision API having capability of identifying supermarket products.
Awarded at HacKLN-2017
organized by University of Kelaniya selecting for top 20 finalists
Proposed an idea called ‘smart wakkada’ – An automated slice gate mechanism useful agricultural fields.
IEEE Extreme 11.0 (2017) Team Name – BytePlease
World rank:284 , Island rank:18
SLIIT Robofest (2016)
An obstacle avoiding robot made using Arduino for the annual robotics competition organized by Faculty of Engineering SLIIT

Final Year Project

Thin Structure Obstacle Detection & Tracking

•Obstacle detection is a vital component in blind navigation systems. But there is a lack of attention was given in the literature to detect thin structure obstacles like wires, cables, tree branches. This research project focuses on improving the detection of these types of obstacles using a computer vision based approach.