Hi, I’m Muno —
I am a Master’s student in the Artificial Intelligence & Innovation (MSAII:SCS) program at Carnegie Mellon University (class of 2024). I completed my undergraduate degree in Electrical Engineering with a focus on Machine Learning & Controls at the University of California, San Diego (class of 2022).
My areas of interest span across different fields including artificial intelligence, product management, and business development. I am passionate about exploring AI's latest advancements and potential applications, as well as using my creativity to design and manage innovative products. I am also developing my skills in business development to identify and pursue strategic opportunities for growth and success.
Deep Learning and Sentiment Analysis to Forecast Stock Market Volatility
This project aims to investigate the effectiveness of using sentiment analysis techniques on data obtained from multiple news sources, namely Webull, Twitter, and Reddit, to predict stock price differences during the COVID-19 pandemic. We focus on two companies, one large-cap (Zoom) and one small-cap (AMC), to explore the correlation between market sentiment and stock price movement.
Vision-Language Navigation with ALFRED
The objective of this project is to develop a social agent that is capable of performing a wide range of tasks by accurately mapping human language instructions to actions, behaviors, and objects in interactive visual environments. To achieve this goal, we utilized the ALFRED benchmark dataset, which consists of tasks related to home automation and assistive robots for people with disabilities and the elderly.