Sanjani Gunathilaka

An adaptable and enthusiastic undergraduate with a positive attitude towards learning new things as well as working with a diverse group of people. I seek a challenging and exciting career in the IT industry to offer the best outcome for the industry while developing myself, learning new skills and exploring new challenges.

Email: sanjanigunathilaka@gmail.com
Phone: 0768689054
Course: IS

Interests:Data Analytics | R&D Software Engineer| Blogging | DevOps | Business analysis | Machine Learning

Technical Skills: PHP | JavaScript | Bootstrap | HTML | CSS | MySQL | Python | Laravel | Protractor | Jira | UML |

Project Experience

Second-year group project | 2017 | A web-based Learning Management System. Developed using: Laravel (5.5), HTML, JS, CSS, Bootstrap, MySQL
Discussion Point “Ask guru Q&A” | 2018
(askguru.uphero.com) targeting Sri Lankan School Programmers | Instructional Designer and Developer | Q&A Platform – Question2Answer
Digitalis CPD – Internship project |(2018-2019)
A web application to allow recording and sharing of news, articles and CPD opportunities for healthcare professionals in the UK | E2E testing using Protractor framework
Salpo CRM – Internship project | (2018-2019)
A Customer Relationship Management software | E2E testing using Protractor framework
Cheltenham Festivals App – Internship project | (2018-2019)
Official app for The Times and The Sunday Times Cheltenham Literature Festival 2018
Freedom Tech Partner-Portal – Internship project | (2018-2019)
An online ordering system – handle customer segments

Work Experience

Software Quality Assurance Engineer – Intern
• SALPO Technologies
(2018- Feb 2019)

Achievements | Awards

IEEEXtreme 10.0 (2016) – Our team “TeamvTech” Placed regional rank 177 and island rank 65 in IEEEXtreme 10.0
Hackaholics 2.0 – One of the top 12 teams of the hackathon organized by the WIE Affinity Group of UCSC.

Final Year Project

The Use of Conversational Interfaces in Long Term Patient Care (2019 – present)

• This research aims to determine the problems of long term patients which can be solved through conversational interfaces and develop a suitable application integrating with a conversational interface in a way that delivers more value to long term patients. The research broadly examines the use of Conversational Interfaces by long term patients using online review analysis and direct interview processes to get a depth understanding of the domain area and the necessities of long term patients. The findings from the detailed analysis of studies help to identify the most critical requirements faced by the elderly in long term care that need to be addressed and to design the proposing software application model.