Hi, I'm Archit!
I'm an avid programmer and entrepreneur who recently graduated from Cornell University with a degree in Computer Science and minor in Applied Mathematics.
I've built dozens of projects with tens of thousands of users, and as an avid entrepreneur I'm always tinkering and building new ideas with the potential to revolutionize the world.
On campus, I was President of Cornell AppDev, a team of 50 students building apps with over 15,000 combined active users. Our apps solve Cornellians' daily headaches, aiding students in everything from browsing dining hall menus to campus transit.
Engineering the Future.
Coding Projects
Yolo: Social Events
Yolo is the first social media app built around your calendar. It's designed to help you find fun events on campus and make friends with similar interests, and launched at Cornell in Fall 2022!
Impact: 300+ Daily Active Users, 1000+ Users
Tech: React Native, MongoDB, Express.js & Node.js, Socket.io, AWS CloudFront, AWS S3, AWS EC2
Newsflash: AI News
NewsFlash is a website and mobile app that utilizes Machine Learning to identify news bias. It displays top headlines (and their bias), and is capable of analyzing the sentiments and bias of any article on the web.
Impact: 1,000+ Users; 50,000+ Articles Analyzed
Tech: TensorFlow, NLTK, React Native, Flask, SQL
Volume: Cornell Publications
Volume is a mobile app which aggregates all student publications, magazines, and flyers on Cornell campus. I led a team of 10 developers, designers, and marketers to build the app and grow it to over 400 users.
Impact: 400+ users; 20+ publications; 5,000+ articles
Tech: GraphQL, MongoDB, Express & Node.js, TypeScript, RSS Parsing
PriceMerge
PriceMerge empowers users to combat price hiking by allowing users to compare and track product prices across thousands of websites, automatically notifying them when prices drop. PriceMerge aided tens of thousands of users in acquiring PPE during the COVID-19 pandemic and has been featured on the national news.
Impact: 25,000+ Users; 200,000+ Searches; Featured on national news
Eatery: Cornell Dining
Eatery is an app built by Cornell AppDev to display Cornell dining hall menus to 10,000+ users daily. I worked as a backend developer on a team of 10 to architect a new backend from scratch to enable account personalization, food recommendations, and item favoriting.
Impact: 10,000 Monthly Users; 30,000+ downloads
Tech: Django, PostGreSQL, SQLAlchemy
An Abundance of Experience.
Tech Experience
Frontend
Next.js
Rendering Framework
React.js
Web UI Library
Svelte
Web UI Library
Tailwind CSS
CSS Framework
Backend
Node.js
JavaScript runtime
Express.js
JS Backend Framework
Flask
Backend Framework
Django
Backend Framework
Databases
MongoDB
NoSQL Database
GraphQL
API Query Language
PostgreSQL
Relational Database
MySQL
Relational Database
DevOps
Docker
Container Creation
Kubernetes
Container Orchestration
Terraform
Infra-as-a-Service
AWS, Azure, GCP
Cloud Services
Machine Learning
PyTorch
Deep Learning Framework
Hugging Face
Transformer Library
TensorFlow
Deep Learning Framework
SKLearn
ML Toolkit
Mobile
React Native + Expo
Mobile Dev Framework
Swift
iOS Development
Objective C
iOS & MacOS Development
Jetpack Compose
Android Development
Languages
Java
Highly Experienced
Python
Highly Experienced
C++
Experienced
JavaScript & TypeScript
Experienced
Putting My Skills to the Test.
Work Experience
Software Engineer Intern
Apple (May 2023 - Aug 2023)
• Implemented custom C++ library to detect topological and geometric changes in HD Maps for autonomous systems, reducing data transition time by 70%
• Constructed custom UI geometry classes, modals, and event handlers in Objective C to visualize library analysis in custom MacOS application
• Architected Protobuf schemas for library analysis serialization, visualization, and deployment
President
Cornell AppDev (Feb 2022 - Present)
• Leading all Software Development (iOS, Android, Backend) for a team of 50 students building apps with 10,000+ active users
• Constructing team vision, overseeing logistics, and communicating with stakeholders in Cornell administration
• Previously served as Product Lead, Technical Product Manager, and Backend Developer
Computer Vision Researcher
Cornell University (Aug 2023 - Present)
• Working with Prof. Noah Snavely to improve the accuracy of video entity motion detection pipeline
• Implementing CoTracker optical flow pipeline for data preprocessing and optimizing neural network efficiency
• Investigating applications of pipeline’s bijective mappings to 3D canonical space in generative AI video editing
Software Engineer Intern
Johnson & Johnson Robotics (May 2022 - Aug 2022)
• Worked on robotic surgery cloud platform enabling real-time data analytics & communication between IoT robot devices
• Automated deployment of 5,000+ cloud resources (Azure IoT Hub, Blob Storage, etc) by creating Terraform modules integrated into Enterprise Jenkins Instance
• Conceived & implemented Azure IoT Edge authentication module used across 8 device teams to interface with cloud