Kush Parmar

  • React Developer at Statistical Visual Computing Lab, UCSD
  • San Diego, California, United States
  • Computer Software

Previous positions

  • Intern at Lumnus Consulting
  • C++ Tutor at Knowledge


University of California San Diego, Bachelor of Science (B.S.), Cognitive Science, Spec. Machine Learning, and Neural Networks



I’m a Cognitive Science major in my third year, doing a specialization in Machine Learning, and a Minor in Computer Science. I strive to integrate development into my everyday life, and practice perpetual learning. Looking for a SE internship for Summer, Winter 19 to apply my abilities to real world software solutions, and solidify my skill set as a software developer. Feel free to contact me at my email igneel.kush73@gmail.com


  • Appointed as an IA for Cogs 10 – The Cognitive Consequences of Technology

  • React Developer

    Statistical Visual Computing Lab, UCSD

    May 2019 – Present(5 months)San Diego, California

    – Building a web application with the SERN: SQL, Express, React, Node.js stack that processes, and presents phytoplankton image data generated in real-time, and classified into genus by a CNN. – Working in an Scrum environment with a team of engineers, and marine biology researchers. – Previously worked on extending legacy code to add an annotation feature to generate training data for the classifier. This was done with a Flask backend, and vanilla JavaScript. – Wrote automation scripts in bash, and python to generate training datasets from annotated data

  • Consultant

    Lumnus Consulting

    June 2019 – Present(4 months)

    – Member of the Marketing, and Engineering Committee.

  • Intern

    Lumnus Consulting

    April 2019 – June 2019(2 months)San Diego, CA

    – Developed a strategy plan, and climate report to include data analytics services in client offerings

  • C++ Tutor


    June 2018 – August 2018(2 months)New Delhi Area, India

    – Taught 12th Grade students C++ concepts including Data Structures, and File I/O – Focused on highlighting career prospects in Software, and real world applications – Saw an Improvement of >10% for all students

  • Volunteer Android Developer


    July 2015 – September 2015(2 months)New Delhi Area, India

    – Ported an iOS app to Android using the Android SDK. – Developed all the layouts, and the Google Maps API functionality.



  • Song Popularity Predictor

    October 2018 – December 2018

    Implemented a RNN with a LSTM to estimate Spotify popularity through lyrics Worked in a team of three, mainly contributing to the Pytorch implementation

    Team Members (1):
    • Kush Parmar
  • Distractiv

    January 2019 – March 2019

    Designed, and developed a mindfulness mobile first responsive web app using Node.js. Worked in a team of 3, employing need finding, wire framing, a/b, and user testing methodologies

    Team Members (1):
    • Kush Parmar
  • DiscIn

    September 2018

    Developed, and maintain a news media Website for the ultimate frisbee community in India Utilized the LAMP stack for development and, Alibaba for hosting

    Team Members (1):
    • Kush Parmar

Skills & Expertise

  • Git
  • JavaScript
  • React.js
  • Heroku
  • MongoDB
  • Python
  • Android Development
  • TensorFlow
  • C
  • Node.js
  • MySQL
  • C++
  • PyTorch
  • Travis CI
  • Bash
  • Java


University of California San Diego

  • Advanced Data Structures(CSE 100)
  • Supervised Machine Learning Algorithms(COGS 118A)
  • Algorithm Design, & Analysis(CSE 101)
  • Deep Learning(COGS 181)
  • Data Science In Practice(COGS 108)
  • Natural Language Processing with Deep Neural Networks(LIGN 167)
  • Interaction Design(CSE 170/ COGS 120)