Praneeth Guduguntla Resume
PRANEETH GUDUGUNTLA
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EDUCATION
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN August 2020 - Present
B.S. Computer Science, Class of 2024
CUPERTINO HIGH SCHOOL August 2016 - June 2020
Cupertino, CA – Class of 2020 GPA: 4.0 (Unweighted)
EXPERIENCE
TINOSYS May 2018 - August 2018
Software Engineering/Marketing Intern Sunnyvale, CA
? Explored and implemented industry standard Natural Language Processing (NLP) models (Word2Vec, GAN) to customer
service text data to extrapolate business insights
? Devised an automated testing suite to measure efficacy of the company’s NLP models against the models that I developed
? Upgraded and standardized the startup’s existing branding and revamped the pitch slide deck for investment pitches
? Conducted a thorough competitive analysis through extensive market research with the CEO to devise a market-aware
business strategy
Company Website: ------------/
CALYPSO May 2020 - August 2020
Software Engineering Intern Berkeley, CA
? Engineered the minimum viable product (MVP) from scratch using a React/Redux frontend and Node.js, PostgreSQL,
TypeScript backend to deliver a functional application for simulated beta testing
? Redesigned entire UI/UX of the application, from detailed mockups to a working implementation to lift the frontend to
match modern web design standards
? Integrated Plaid Bank API to allow the company to securely retrieve user financial data from customers interested in
finding or refinancing personal loans
THE OSCAR-BERMAN LAB OF NEUROPHYSIOLOGY June 2019 - August 2019
Software Engineering Intern Boston, MA
? Standardized format for fMRI data for improved image processing (BIDS) using HeuDiConv (Heuristic Dicon Convertor)
to maximize the lab’s ability to detect long-term neurological effects of alcoholism
? Developed dozens of automated bash scripts to reformat messy initial fMRI and JSON metadata into processable formats,
simplifying the data pre-processing workflow for non-technical members of the team
Research Poster: https://www.bu.edu/summer/files/2019/11/Guduguntla-Praneeth-POSTER.pdf
SPOTIFY PARTY April 2020 - Present
Product Creator Cupertino, CA
? Founded an open source Google Chrome Extension with over 1,200+ weekly users across the world
? Enhanced the Spotify web experience by enabling users to listen to music simultaneously with their friends on separate
devices (Features include live messaging, pause/play, skipping music)
? Created a Node.js backend REST API with real-time web sockets (Socket.io) and deployed as a Heroku application
Product Website: ------------
SKILLS
Proficient: Java, Python, JavaScript, Node.js, Express, React, Redux, SQL, Numpy/Pandas, HTML5, CSS3, REST API
Development, React Native, OpenCV, Android, UX/UI
Familiar: Scikit-learn, Swift
ACCOMPLISHMENTS
? 1st Place at Silicon Valley Hackathon - Sentinel, Android application that allows school administrators to communicate
with students directly in emergencies
? 3rd Place at Pioneer Hacks - TradeX, Android application that uses polynomial regression to predict stock price
PRANEETH GUDUGUNTLA
------------ • ------------ • ------------/pguduguntla
EDUCATION
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN August 2020 - Present
B.S. Computer Science, Class of 2024
CUPERTINO HIGH SCHOOL August 2016 - June 2020
Cupertino, CA – Class of 2020 GPA: 4.0 (Unweighted)
EXPERIENCE
TINOSYS May 2018 - August 2018
Software Engineering/Marketing Intern Sunnyvale, CA
? Explored and implemented industry standard Natural Language Processing (NLP) models (Word2Vec, GAN) to customer
service text data to extrapolate business insights
? Devised an automated testing suite to measure efficacy of the company’s NLP models against the models that I developed
? Upgraded and standardized the startup’s existing branding and revamped the pitch slide deck for investment pitches
? Conducted a thorough competitive analysis through extensive market research with the CEO to devise a market-aware
business strategy
Company Website: ------------/
CALYPSO May 2020 - August 2020
Software Engineering Intern Berkeley, CA
? Engineered the minimum viable product (MVP) from scratch using a React/Redux frontend and Node.js, PostgreSQL,
TypeScript backend to deliver a functional application for simulated beta testing
? Redesigned entire UI/UX of the application, from detailed mockups to a working implementation to lift the frontend to
match modern web design standards
? Integrated Plaid Bank API to allow the company to securely retrieve user financial data from customers interested in
finding or refinancing personal loans
THE OSCAR-BERMAN LAB OF NEUROPHYSIOLOGY June 2019 - August 2019
Software Engineering Intern Boston, MA
? Standardized format for fMRI data for improved image processing (BIDS) using HeuDiConv (Heuristic Dicon Convertor)
to maximize the lab’s ability to detect long-term neurological effects of alcoholism
? Developed dozens of automated bash scripts to reformat messy initial fMRI and JSON metadata into processable formats,
simplifying the data pre-processing workflow for non-technical members of the team
Research Poster: https://www.bu.edu/summer/files/2019/11/Guduguntla-Praneeth-POSTER.pdf
SPOTIFY PARTY April 2020 - Present
Product Creator Cupertino, CA
? Founded an open source Google Chrome Extension with over 1,200+ weekly users across the world
? Enhanced the Spotify web experience by enabling users to listen to music simultaneously with their friends on separate
devices (Features include live messaging, pause/play, skipping music)
? Created a Node.js backend REST API with real-time web sockets (Socket.io) and deployed as a Heroku application
Product Website: ------------
SKILLS
Proficient: Java, Python, JavaScript, Node.js, Express, React, Redux, SQL, Numpy/Pandas, HTML5, CSS3, REST API
Development, React Native, OpenCV, Android, UX/UI
Familiar: Scikit-learn, Swift
ACCOMPLISHMENTS
? 1st Place at Silicon Valley Hackathon - Sentinel, Android application that allows school administrators to communicate
with students directly in emergencies
? 3rd Place at Pioneer Hacks - TradeX, Android application that uses polynomial regression to predict stock price