Yetesh Chaudhary Programmer’s Portfolio

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  • Shortly About Me

    Dual degree (Bachelors + Masters) student in department of Computer Science and Engineering, IIT Kharagpur.

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    What’s New

    5jan

    Check the post in my blog

    By pass proxy server to open sites like TopCoder, IRCTC Talkal booking etc in a few steps.

    2dec

    Got selected in ServiceNow

    Has been selected as Application developer in Santa Clara office of ServiceNow

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    Competitive Programming

    Happy Coding !!

    I have been an active participant in online competitive algorithmic programming.I have experence on solving sorting, binary seach, number theory, string, graphs and dynamic programming related problems. I am not expert but I hope to improve as much as possible. I recommend GeeksForGeeks to anyone aspiring to be good in algorithms. For oher computer science subjects, GeeksQuiz is a good resource.

    Here are my coding profiles:

    • Codechef
    • Hackerrank
    • Hackerearth
    • Codeforces
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  • My Bio

    Hi there !!

    I love working on real time projects, algorithms and mathematics. I am quite good in academics holding a CGPA of 9.15/10 till 9th sem. I have experience using REST APIs in my projects on Twitter and client-server communication in Android Apps. I have worked on Computer Vision projects like Image and Video Mosaicing and 3D reconstruction. I have been a Teaching Assistant of Machine Learning and have won prize from American Express in Data Analytics Contest for being the campus topper. I have also obtained statements of accomplishment from Stanford University for Machine Learning, Algorithms and Cryptography.

    I am also pursuing a minor in department of Mathematics along with my major in Computer Science. I along with Aakash Anuj and Surya Prakash presented a paper in our Operations Research course.

    Here is the paper. I have been also been the tutor of Programming and data structures for first year undergraduate students. I was also a student mentor.

    Internships

    • Undergraduate research trainee in McGill University
    • Research Intern in Telecom and Mobile Research Group of IBM
    • Winter Intern in PEC University of Technology
    • Intern in PUDA
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  • Competitive programming highlights

    About My Achievements

    Codechef

    • Ranked #1 in Xception 1.0
    • Ranked #242 out of 1408 participants in Lunchtime
    • Ranked #331 out of 5726 participants in Long challenge

    Hackerrank

    • Ranked #69 out of 904 participants in Hack101
    • Ranked #301 out of 1992 participants in Weekly challenge
    • Ranked #282 out of 1477 participants in Ad Infinitum
    • O(log n) rating

    Hackerearth

    • Ranked #5 out of 300+ participants in CodeCyphers
    • Ranked #13 out of 300+ participants in ProSort
    • Ranked #22 out of 986 participants in Target Challenge
    • Ranked #25 out of 728 participants in Glydel Challenge

    Codeforces

    • Maximum rating: expert

  • Contact Info

    Yetesh Chaudhary

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    D-138, RP Hall,
    IIT Kharagpur
    +91 7501463406
    yetesh.ch@gmail.com

    Sending a mail is preferable over submitting Contact Form

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  • Internships

    McGill University

    I worked as an undergraduate research trainee under supervision of Prof. Jeremy Cooperstock on the android application development of rtER. This project involves live streaming, tagging and filtering of video feeds from smartphone to web browser. This project is being integrated with Google Glass, OpenGL rendering, use of accelerometer, temperature detectors. I worked here and accomplished following tasks in android app of rtER:

    • Detection of Network change
    • Recording audio communication by intercepting microphone and speaker
    • Audio Communication through Telephony in background
    • Integrated live streaming of Audio with video image frames from android smartphone to video server and then to web server written in Go

    IBM Research

    In my internship at Telecom & Mobile Research Group, IBM-IRL I basically accomplished three major tasks in android app named “SmartShopper”. I even got a paper published in Mobiquitous-2013.

    • SQLite Database design for storing local information on customer and merchant device
    • Design and implementation of interface for adding, editing and saving list of items in customer’s device
    • Wireless transfer of customer’s lists and corresponding bill between customer and merchant device.

  • What’s New

    17mar

    Codeforces Round #296

    Ranked #640 out of 5684 participants in Codeforces.



    22feb

    February Lunchtime 2015

    Ranked #179 out of 1355 participants in Lunchtime.



    25jan

    RECursion Challenge-I

    Ranked #25 out of 970 participants in RECursion Challenge-I.



    25jan

    January Lunchtime 2015

    Ranked #150 out of 1919 registered participants in Lunchtime.



    22jan

    GrietCode, January 2015

    Ranked #152 out of 793 teams in GrietCode.



    15jan

    Code Niche 2015

    Ranked #118 out of 838 participants in Code Niche 2015.



    13jan

    DPS Dwarka INOI practice contest 01

    Ranked #196 out of 1279 participants in DPS Dwarka INOI practice contest 01.



    12jan

    Codeforces Round #285

    Ranked #882 out of 2855 participants in Codeforces Round #285.



    1jan

    January Easy Challenge

    Ranked #37 out of 1262 participants in January Easy Challenge.



    23dec

    9th Sem results

    Scored a SGPA of 9.44/10. Graded as Excellent in all theory subjects.



    12dec

    IR teaching assistant

    Selected as teaching assistant of Information Retrieval course under Prof. Sudeshna Sarkar.



  • Projects

    Automated tracking of Indian Classical Dance in Labanotation using Kinect Skeletal Data

    Tracking postures of Bharatanatyam using Kinect skeletal data and generating a script describing the dance movements in Labanotation

    Vivid Mixer Tool

    I am also working on an Vivid mixer tool which is a Mac Desktop Application using Cocoa and it allows to edit and timeline the sequence of play of various MultiMedia content. Its output will be given as input to a iPhone/iPad player which renders and plays the saved multimedia content.

    Web based Native Language Identification from English writings

    Used supervised learning to train the machine to deduce the native language of a user from its english writing. The learned model was hosted in a php based website.

    

    Influence propagation in Location based Social Networks

    Inferred Location based Influence propagation in Yelp and analyzed temporal and semantic behaviour of tips and reviews in Yelp.

    

    Studying Deleted Tweets in Twitter

    This project involved collecting and studying information about Tweets that people delete on Twitter. In this work we looked into the questions as to why people delete tweets, and are there significant characteristic specialties in the tweets that are deleted and the users who delete them.

    










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Yetesh Chaudhary Copyright 2015