RESUME [pdf]                                                                     


EDUCATION
  • Aug 2010 - Present:   PhD in Computer Science at Indian Institute of Technology Madras, Chennai    
  • June 2008 - March 2010:   MTech in Computer Science at Sri Sathya Sai Institute of Higher Learning, Puttaparthi
  • June 2006 - March 2008:   MSc in Mathematics at Sri Sathya Sai Institute of Higher Learning, Puttaparthi
  • June 2003 - March 2006:   BSc in Mathematics at Sri Sathya Sai Institute of Higher Learning, Brindavan Campus, Bangalore


EXPERIENCE

  • May - Aug 2012:   Summer Intern at IBM Research, Bangalore with the Human Language Technologies Group


PUBLICATIONS

  • Estimating Case Base Complexity using Fractal dimension, KVS Dileep and Sutanu Chakraborti, Accepted for publication in 22nd International Conference on Case-Based Reasoning, 29th September - 1st October 2014, Cork, Ireland 
  • Towards Higher Order Complexity Measures for Text Classification, KVS Dileep and Sutanu Chakraborti, 1st Indian Workshop on Machine Learning(iWML 2013), July 1-3 2013, IIT Kanpur. (Poster Presentation)[pdf][poster]
  • Learning Data Dependent Composite Kernels for Robust Image Retrieval - A Genetic Programming Approach”, Published at International Conference on Image Processing, Computer Vision, and Pattern Recognition 2010 (IPCV 2010), July 12th-15th , Las Vegas, USA

ACHIEVEMENTS
  • 3rd Prize in Yahoo! HackU 2013 event at IIT Madras. Developed a small hack called Yahoo! AnswersEx which determines how difficult it is to obtain an answer for a question asked on Yahoo! Answers. More details and coverage here 
  • One of the winning hacks in the Yahoo! HackU 2011. The app is Tweets of Interest, which scans your twitter timeline and mails you important tweets based on your interests. 


MINOR PROJECTS

  • Autobiography Extraction from Tweets 
The aim of this project was to study the tweets of a person and try to identify those tweets that can be important for his autobiography. This is a small portion of the Memories for Life grand challenge problem.
  • Converting queries in natural language to SQL  
The aim of this project was to investigate some recent approaches to create a natural language interface to databases(NLIDB).


SKILLS

  • C, C++, Java, Python, Matlab, Visual Basic, ADO.NET
  • Ubuntu Linux, Windows
  • LaTeX


COURSES

  • Memory Based Reasoning in AI
  • Natural Language Processing
  • Advanced Data Structures and Algorithms
  • Artificial Intelligence
  • Kernel Methods in Pattern Analysis
  • Machine Learning