I invite you to explore my journey at the crossroads of computer science, mathematics, and creative innovation.
I’m a computer science and math student who enjoys exploring algorithms, probability, and building clean, practical software. Outside of academics, I spend a lot of time on puzzle games and strategy challenges, and I stay active through badminton, frisbee, working out, biking, hiking, and most recently running. This site is a snapshot of the projects and ideas I’m working on, blending problem-solving with curiosity and creativity.
Developed an AI-enhanced system to detect suspicious insider trading by combining SEC data, stock price analysis, and LLM-generated trade explanations.
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As part of my coursework, I designed intelligent agent systems for dynamic, uncertain environments, progressively building and analyzing increasingly complex AI models. These projects spanned search algorithms, probabilistic reasoning, and machine learning-based predictions.
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This is a project that I made in order to help me stay organized when it comes to applying for internships. I plan on implementing a system of parsing through emails using Natural Language Processing to handle status changes.
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An application I made to bring all my financial projects into one space. This application serves as a comprehensive platform to showcase various tools and models designed to enhance financial analysis and learning.
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This was a compeition I participated in to learn more about algorithmic trading to pursue passion for probability and to apply the skills I learned through my education in Computer Science and Mathematics.
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These two projects in my software methodology class were to help us learn more about using Java to make applicaitons and learn the best practices in the industry when developing programs. The second project was for us to take our Java applicaiton and convert it to an android application.
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This is a project to estimate the value of financial options, enhancing proficiency in Python programming, numerical methods, and stochastic modeling. I had taken this project to learn more about quantitative finance and learn more about how options are priced.
Learn MoreThis is the project I completed in HackRU Spring 2024, a 24 hackathon at Rutgers University. I showcased my expertise in machine learning and Flask by developing a successful project that seamlessly integrated ML models into web applications and learned how to integrate Cloudflare Worker AI.
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This project is a chess game developed as a part of the CS 213 course at Rutgers University to learn Object Object-Oriented Programming Principles as well as the software development process using Java.
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As part of my WINLAB internship, I took part in project titled 'Resilient Edge-Cloud Autonomous Learning.' Our team, alongside dedicated mentors, delved into mobile-edge computing, optimizing machine learning on edge devices, and striking a balance between latency and accuracy.
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This is a project to estimate the value of financial options, enhancing proficiency in Python programming, numerical methods, and stochastic modeling. I had taken this project to learn more about quantitative finance and learn more about how options are priced.
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A program that inputs American Sign Language and translates it into english in realtime.
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A program that modifies your google calendar when you input a task with a deadline and priority.
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Check out this research paper I wrote in my senior year of high school regarding physics education.
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