Thar Un Kumar R Ed Dy has experience as a researcher and content curator where he curated over 1000 multiple choice questions in areas like data structures and algorithms. He is currently a final year student studying Computer Science and Engineering at SRM University with a CGPA of 8.4. Some of his technical projects include a news scraping application that sends relevant news via SMS, a Hacker News clone using Django, and a Rubix cube solver using a modified depth first search algorithm. He has also published a paper on ranking answers in community question/answer websites using natural language processing.

1. THAR UN KUMAR R ED DY
+917358351639
Atkr323@gmail.com
EMPLOYMENT
Researcher and Content
Curator, Intern Sanfoundry , Bangalore Summer 2016
 Curated over 1000 multiple choice questions in the areas of Data Structures and Algorithms with nearly 0%
plagiarism which is used by millions of students to prepare for technical interviews and regular academics.
 Had written multiple articles on implementation of STL functions in solving Competitive coding problems
which enables to implement certain Algorithms directly instead of writing a lengthy code.
EDUCATION
Ramapuram,Chennai SRM University 2014 - 2018
 Final year, Computer Science and Engineering. CGPA 8.4/10.
 Relevant Coursework: Data Structures, Algorithms, Databases, Operating Systems, Programming Languages –
C, C++.
Senior High School Narayana Junior college 2012-2014
 Score: 89%.
High School The Nalgonda Public School (CBSE) 2002-2012
 CGPA : 9.2.
TECHNICAL EXPERIENCE
Projects
 Breaking News via SMS: Had Effectively used python to scrap the Google News feed using Beautiful Soup
library and had stored the news in a linked list and is sent to the Mobile device using Twilio API, Used Text
Summarization Algorithm to extract only relevant content from the entire news, Script is hosted on Python
Anywhere.
 Hacker News clone using Django: Hacker news clone with Django framework is built with features like a
Login page for user registration, writing a post, up voting / down voting, commenting on a post are built.
 Rubix Cube solver: Implemented modified Depth first search Algorithm on the Rubix cube solves the cube in
O( V log E) time , this was a side project in MIT CS1011 course on Algorithms.
 Facebook Scrapper for Statistical Analysis:Uses Facebook Graph API and a Fake User Authentication
attributes like access token and Oauth id to enter into Facebook and extract all the posts of a certain page
including the image URL’s , likes and shares count ,post’s content in JSON format.
ACCOMPLISHMENTS
 Second Runner up: Stood 3rd
position in Top Coder of the week division in SPOJ for solving maximum number
of problems in Data Structures and Algorithms among 10000 participants.
Publications
 Presented a paper on “Ranking answers in community Q/A websites using Natural Language Processing” in
Technical Symposium at RMK Engineering College, Hosted by Computer Society of India.
Languages and Technologies
 Parallel Programming languages- C,C++14 with STL ,Python.
 Sublime Text, Vim, Version Control–Git , Pycharm.