Hey there! I'm

Shikhar Gupta

I like creating apps, websites, and AI models

01.

About Me


Hey! I'm Shikhar Gupta, and I'm currently pursuing a Bachelor's Degree of Science in Computer Science at the University of California, Davis. Last summer, I was a Software Engineering Intern at Apple, working with the CAD-CSG team in the Silicon Engineering Group to optimize server discovery in Choria.

My favorite part of programming is creating apps and websites, like this one! I love the whole process of taking an idea from ideation to design to production. I also find competitive programming pretty fun. Finally, I love using AI models to solve interesting and complex problems.

Outside of programming, I love a good day outdoors. I often go out with friends and family. I also really like playing table tennis, and played for a few years. I'm down for a game at anytime of the day!

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Some technologies I like to work with

02.

Experience


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Apple SWE Intern

June 2024 - September 2024

I developed a MongoDB-based plugin in Golang, reducing server metadata search time from 30 to 1.5 seconds. This optimized storage move operations to decrease server disruption time by 18 hours monthly across 2,000+ moves. Additionally, I architected a REST API with Go ent for Choria integration, streamlining server interactions and reducing development time by 85%.
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GalaxySDK SWE Intern

June 2023 - August 2023

I developed an inviting onboarding page, boosting user experience and increasing monthly signed-in users by 20%. Next, I built a robust Flask, OpenAI, and Firebase backend for a GPT-powered chat game from scratch. After, I worked on 8 tickets to optimize UI/UX, leading to an enhanced interface and resolution of customer concerns.
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Salubrity SWE Intern

June 2022 - August 2022

I built a Flask backend using Python and Selenium to pull out scrape 70k+ datapoints, helping identify businesses that would benefit from Salubrity's services, and leading to an expansion from 1 to 10 cities. I also set up an internal tool using a NGINX server backend with a HTML/CSS/JS frontend to find potential business prospects for future growth.
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Gardeneur SWE Intern

January 2022 - May 2022

I led a team of 3 in creating a ML plant detection app. I used Tensorflow to train a deep learning model to detect plants using 25 GB of raw image data, achieving 96% accuracy across 50 categories. I created a React Native mobile app and embedded this model to work in real time on smartphones.

03.

Projects


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Handscript

A web app that helps users learn American Sign Language with real time translation, instruction, and feedback.

Tensorflow

React.js

AWS

Flask

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Chatter

An app for messaging your friends and family with a visually aesthetic design.

React.js

MongoDB

Express

NodeJS

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Community Connect

A social media app that connects the community through recycling by various rewards systems and social features.

React Native

Firebase

CSS

Node

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ML Research

Reducing algorithmic bias in imbalanced datasets through conditional synthetic image generation.

Tensorflow

Pandas

Seaborn

Numpy

04.

Contact


If you have opportunities or are interested in collaboration, please email me. You can also connect on social media for questions or just to say hi! My inbox is always open, and I'll try to get back as soon as possible.