Hi, I’m Muno —
I am a Senior Associate Data Scientist at the Bank of New York (BNY).
M.Sc. in Artificial Intelligence & Innovation, Carnegie Mellon University ’24.
B.Sc. in Electrical Engineering (Machine Learning & Controls), University of California San Diego ‘22.
My interests span artificial intelligence, product management, and business development. I’m particularly enthusiastic about the breakthroughs and lessons learned in AI development, as well as their potential to enhance operational efficiency and user experience.
EDAhub: Data Analysis for Investor Relations Communications
This project spans Oct 2023 - May 2024. The focus is to build a multi-modal and multi-media AI system with a voice/text UI to extract relevant data from financial statements, create summaries, perform Exploratory Data Analysis (EDA), create charts/graphs, and analyze differences across financial documents.
BurgerBot: GPT-4, Segmentation, and Manipulation
The goal of our study is to develop "BurgerBot," a framework combining GPT-4 and a segmentation model to guide a robotic arm in assembling a plastic burger toy. The objective is to understand real-time human-robot conversational interactions, focusing on the robot's adaptability to diverse instructions.
Scientific Named Entity Recognition
The goal is to build an end-to-end NLP system involving collecting our own data and training a model to identify specific entities such as method names, task names, dataset names, metric names and their values, hyperparameter names and their values within scientific publications from recent NLP conferences (ACL, EMNLP, and NAACL).
Building My Own BERT
Develop a minimalist version of BERT (Bidirectional Encoder Representations from Transformers), implementing some important components of the BERT model (self attention, layers, model, optimizer, and classifier) to perform sentence classification on sst dataset and cfimdb dataset.