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Bhushan Khanale

About me

  • Skills
    • Languages: C/C++, Python, Java, Kotlin
    • Frameworks: NodeJS, Pandas, NumPy
    • Tools: git, Github
  • Volunteer Experience

    • Worked as a programming instructor in various schools for introducing the young minds to the world of programming. Motivating them to participate in IOI and IMO. This was carried out as a part of CodeChef School initiative.

    • Working as a problem setter and admin for various programming competitions to be organized in IIIT-Bh as a part of improving Coding Culture in the institute.

    • I am a member of the Programming Society IIIT-Bh and Vice-Chairman of ACM IIIT-Bh Campus Club. Also, working as a programming lead for the institute. The common goal is to improve the coding culture in the institute.



  • Work Experience

    • Problem Setter @CodeChef: Worked as an official problem setter for CodeChef (Directi Initiative) setting problems for their Long Contests. [May 2018 - Present]

    • Summer Intern @Quantsapp: Working on option research algorithms and optimization of the data. Also working on the Deep Learning for NLP for data extraction task for optimization of the option strategies. [May 2018 - Present]

    • Research Intern @CoEP: Worked on the Language Identification for Closely Related Languages with Named Entity Recognition on Code-Switched Data. [May 2017 to Oct 2017]

  • Speciality

    • Competitive Programming

    • Problem Solving

    • Problem Setting

    • Machine Learning

    • Natural Language Processing



Personal Projects

  • CodeL: Python script to download latest successful submissions on websites CodeChef and Codeforces and having the problem statement and sample test cases appended to the code file in a comment.

  • CodeM: CodeM is an Android app that pushes notification whenever a new contest on CodeChef or Codeforces is announced. Also, it provides you to set a reminder to before the contest starts at a specific time. It can add the contest events to your Google calendar with the minimal UI of the app.

  • Natural Finance Analysis: Python based NLP model which would be helpful in stock analysis for Quantsapp’s option trading algorithms for a better live-based strategies.