About
I am a senior at Cornell University studying Computer Science and Robotics. I am passionate about using AI and software engineering to build solutions, especially ones for public benefit.
Currently, I am building an AI-powered journaling app startup, Scribe AI, where I am leading the development of the backend. Previously, I worked as a Software Development Engineer intern at Amazon, where I created a full-stack application to assist with their asset management system.
When not working, you’ll most likely find me outside playing sports, or inside gaming. I also love to read and cook.
Experience
Co-Founder, Backend Lead @ Scribe AI (Startup)
As Co-Founder and Backend Lead at Scribe AI, I’ve been leading the development and integration of the backend for an AI-powered journaling application. I designed and maintained a SQLite database using SQLAlchemy to store user information, and implemented Flask routes to handle HTTP requests between the frontend and backend. Additionally, I integrated WebSockets to enable real-time audio transfer between the website and the AI agent.
Software Development Engineer Intern @ Amazon
During my time as a Software Development Engineer Intern at Amazon, I developed and deployed a full-stack application to streamline manual asset creation, saving my team hours of work each week. I built the frontend using HTML, CSS, TypeScript, and React, and implemented the backend using Java, DynamoDB, and GraphQL to manage data and connect to the frontend. I also created detailed design documents and presented them to stakeholders to guide the implementation process.
Advisory & Governance Board Member @ Cornell Blockchain
As an Advisory & Governance Board Member of the Cornell Blockchain Club, I conducted market research to support Web3 startup companies in improving their business strategies. I used SQL to query data related to cryptocurrency prices, liquidity pools, and other key analytics. I also explored practical applications of blockchain technology to identify areas where it could replace or enhance existing systems.
Projects
BluffBot: AI-Powered Poker Bot
For BluffBot, an AI-powered poker bot, I implemented Deep Q-Learning using PyTorch to train an agent capable of playing two-player Texas Hold’em Poker. I leveraged PettingZoo’s poker environment to facilitate training and enable the agent to compete against both human players and other AI agents.
Contact
Email: jjs465@cornell.edu