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Hi, I'm

Pranav Chandupatla

I'm a computer science and finance student at the University of Texas at Austin

About Me


Thanks for visiting my website! I'm Pranav Chandupatla, an aspiring developer.

I am a junior computer science and finance student at UT Austin. While I am not sure what I plan to specialize in, I enjoy building projects that allow me to learn about new subjects.

In my free time, I like to play pool, eat Thai food, and think about why I've never seen a baby pigeon. I mean, they have to be out there somewhere, right?

I am currently looking for an SWE internship.

Some languages I've used recently:

  • Java
  • ReactJS
  • NodeJS
  • HTML
  • SQL
  • C
  • Python
A picture of my face

Featured Projects


UT Grade Distribution Ranker: A full-stack application for UT students to visualize and rank course grade distributions. Built from scratch using ReactJS, NodeJS, and SQL. Deployed using Heroku and Netlify.

Bamboo ISA: Documentation, assembler, and simulator for the custom, CISC-based Bamboo ISA. Built in Java and C.

QKD Protocol: A classical simulation of the BB84 Quantum Key Distribution protocol. Made in collaboration with Anshul Kumar. Built in Java.

Experience


Software Development Intern at Fast Enterprises, LLC

June 2021 - Present

  • Work with Driver Control Team in an Agile environment to implement updated drivers' service systems for Alabama
  • Boost user efficiency by creating an automated out-of-state claims sub-system that handles all steps of the license suspension process, from the initial suspension to the creation of reinstatement requirements and the reinstatement itself
  • Facilitate business cohesion by communicating client needs to developers and presenting thorough tech demos to clients
  • Configure dynamic data cubes to analyze and visualize data by writing logic to filter and format raw, relational datasets

Data Structures Teaching Assistant at the University of Texas at Austin

August 2020 - Present

  • Increase student comprehension by leading office hours to help students with coding assignments and course material
  • Provide supplementary guidance by presenting weekly lessons on data structures concepts to a group of 20 students
  • Aid student exam preparation by crafting and distributing extra coding practice problems during testing weeks

Research Fellow at Applied Research Laboratories

June 2020 - August 2020

  • Investigated single-photon, multi-qubit systems using VQOL, a virtual quantum optics simulator
  • Created Python and Mathematica automation programs to construct, manipulate, and analyze research datasets
  • Co-authored a research paper written on photon particle-wave duality and presented findings to senior researchers

Contact


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