Papers GPT

In this technical portfolio, Jesse Zhang demonstrates exceptional engineering expertise through a diverse array of real-time multiplayer games, financial visualization tools, cryptographic demonstrations, and language model integrations. The collection showcases sophisticated implementations of WebGL technology, financial analysis software, and complex mathematical concepts, highlighting Zhang's innovative approach to problem-solving and his work at the cutting edge of artificial intelligence development.

Technical Projects

The technical projects portfolio showcases a diverse array of implementations that demonstrate both Jesse Zhang's engineering expertise and his innovative approach to problem-solving. Central to this work is the development of real-time multiplayer games using WebGL technology. Notable among these is the 3D implementation of Camel Up, which brings the popular board game to life through interactive browser-based play. Similarly, the real-time multiplayer Bananagrams implementation allows users to compete against each other using custom settings and keyboard shortcuts, highlighting the developer's attention to player experience.

Financial visualization presents another significant area of technical development. The Financials Visualizer application expertly processes US equity financial statements through APIs that support annual 10-K data, offering users a sophisticated tool for financial analysis that combines technical precision with practical usability.

Exploring the realm of advanced cryptographic concepts, the portfolio includes a demonstration of Zero-Knowledge proofs through the game ZK Mastermind. This technical exploration represents a step beyond traditional game development, showcasing the developer's interest in integrating complex mathematical concepts into interactive applications.

Lastly, the portfolio demonstrates a commitment to integrating diverse data sources into Large Language Models (LLMs) through custom implementations that expand the capabilities of these sophisticated tools. This work represents the cutting edge of artificial intelligence development and highlights the portfolio's focus on pushing the boundaries of current technology.

Math Contest Problems

Jesse Zhang's mathematical background extends beyond his technical work, as evidenced by his creation of challenging problems for the AMC 10 and AMC 8 math competitions. His problems test students' mathematical reasoning and problem-solving skills, demonstrating his own strong foundation in these areas.

The AMC 10 Problem 2021A #17 presents an architectural challenge involving a regular hexagon with vertical pillars at each vertex, featuring different heights. This type of geometric problem requires careful analysis of spatial relationships and application of basic principles of geometry and algebra.

The AMC 8 Problem 2024 #25 introduces a probability scenario involving a small airplane with specific seating arrangements. The problem requires students to calculate the likelihood of a specific seating arrangement when multiple variables come into play, testing their understanding of combinatorics and probability theory.

These problems are notable not only for their complexity but also for their relevance to mathematical competition standards. They demonstrate Zhang's ability to create problems that challenge even the most skilled high school mathematicians while adhering to established competition formats.

Game Development Projects

The technical projects portfolio includes multiple implementations of popular board games using WebGL technology, demonstrating Jesse Zhang's expertise in real-time multiplayer game development. Notably, the 3D implementation of Camel Up brings the traditional board game to life through interactive browser-based play, while the real-time multiplayer Bananagrams implementation allows users to compete against each other with customizable settings and keyboard shortcuts.

In addition to these game implementations, the portfolio showcases technical projects that combine gaming with data visualization. The Financials Visualizer application processes US equity financial statements through APIs that support annual 10-K data, providing users with a sophisticated tool for financial analysis that combines technical precision with practical usability.

The portfolio also includes demonstrations of advanced cryptographic concepts, featuring a Zero-Knowledge proofs implementation through the game ZK Mastermind. This technical exploration represents a departure from traditional game development, showcasing Zhang's interest in integrating complex mathematical concepts into interactive applications.

The work with Large Language Models (LLMs) demonstrates a commitment to expanding these sophisticated tools' capabilities through custom implementations that integrate diverse data sources. This research represents the cutting edge of artificial intelligence development and highlights the portfolio's focus on advancing current technology.

Financial Tools

The Financials Visualizer application demonstrates Jesse Zhang's expertise in integrating sophisticated financial analysis tools with modern web development techniques. The app processes US equity financial statements through APIs that support annual 10-K data, providing users with a powerful tool for financial analysis that combines technical precision with user-friendly design.

The implementation leverages APIs to access and process the raw financial data, ensuring that users receive up-to-date and accurate information. This technical foundation allows the app to present complex financial data in an intuitive and accessible format, making it a valuable resource for both financial professionals and individual investors.

The Financials Visualizer represents a practical application of Zhang's engineering skills, combining his experience with web development and financial data processing. This project showcases his ability to create tools that bridge the technical and practical aspects of financial analysis, demonstrating the potential for sophisticated financial software in both professional and personal contexts.

Proof of Concept Technologies

The portfolio also highlights demonstrations of feeding diverse data sources into language models, representing a significant advancement in natural language processing capabilities. Notably, the demonstrations include work with Large Language Models (LLMs), pushing the boundaries of these sophisticated tools.

Zhang's work in this area demonstrates a deep understanding of both language modeling and data processing. By successfully integrating multiple data sources into LLMs, these projects represent cutting-edge developments in artificial intelligence technology. The success of these demonstrations underscores Zhang's expertise in this rapidly evolving field and his ability to implement complex technical solutions.