Akhila Damsari

I am an energetic enthusiastic in the field of Computer Science who loves to get things done in short way. I am a bit creative and looking for a place to further sharpen my knowledge and skills. I am a good team player and a good team leader who has worked with many teams to achieve common goals.

Email: akhiladamsari@gmail.com
Phone: +94710522585
Course: CS

Interests: Graphics Designing, Image Processing, Machine Learning, Web designing and developing, Mobile application developing, Game Developmentment

Technical Skills: Java,Python,PHP,C/ C++,HTML/ CSS,SQL,OpenGL, WebGL,OpenCV,Three.js, CodeIgniter,Yii,Bootstrap,MySQL,SQLite,RPC & IDL, WordPress,Joomla,Xampp/Wampp,Adobe Photoshop,Adobe Illustrator, Adobe After Effects,Adobe Premiere Pro,DirectX,Unity/ Vuforia, OpenSceneGraph, GitHub,Linux,R,MATLAB,Octave,NetBeans

Project Experience

PocketBird – Department of Zoology, University of Colombo
Electronic logbook system with a mobile application and web portal for bird lovers who collect information
about birds and their locations

Memories – Memories
Event organizing website for planning, contacting any kind of life event from the start till the end

Work Experience

  • Assistant Business Analyst, Sky Management Systems (Pvt) Ltd (Feb 2018 – May 2018)
  • Trainee Business Analyst, Sky Management Systems (Pvt) Ltd (Aug 2017 – Jan 2018)
  • Graphic Designer, Fiverr.com (July 2016 – Present)
  • University Intern, People’s Bank Homagama Main Branch, (Sept 2014 – Jan 2015)

Achievements | Awards

  • President – UCSC IEEE Student Branch 2018/2019
  • Secretary – UCSC IEEE Student Branch 2017/018
  • Hackaholics 2016 – 2nd Runner up
  • IEEE Xtreme 9.0 – Region Rank: 120
  • School Best Results – G.C.E Advanced Level 2013 – Physical Science – Sujatha Vidyalaya, Nugegoda
  • 1st Place Winner – Regional Mathematics Competition 2010
  • 1st Place Winner – Zonal Mathematics Competition 2010

Final Year Project

Medical Prescription Identification

Attempt to automate the reading process of the content of medical prescriptions including drug names, dosage and prescription duration using prescription images and handwritten feature recognition and mapping with domain knowledge.