About Me

I'm an AI engineer passionate about machine learning and computational neuroscience. I hold an MS in Computer Science from NYU's Tandon School of Engineering, where I focused on Natural Language Processing (NLP), Computer Vision, and Computational Neuroscience.

I specialize in building data-driven solutions that bridge research and real-world impact. My work combines technical expertise with a deep curiosity for solving challenging problems at the intersection of AI and human cognition/ability.

Skills & Technologies

Programming Languages

Python
MATLAB
SQL
C++

Artificial Intelligence

Multi-Modal
NLP
CNNs
Computer Vision
Computational Neuroscience
RNNs
Reinforcement Learning
GANs
Time-Series Analysis

ML/DS Tools & Frameworks

TensorFlow
PyTorch
Keras
Scikit-learn
Pandas
NumPy
SciPy
Matplotlib
MeCab

ML Algorithms

Statistical Modeling (PCA, TCA)
SVM
Random Forests
Decision Trees
Linear/Logistic Regression
Hidden Markov Models
K-means
Kalman Filters

Neuroscience & Brain-Computer Interfaces

EEG Signal Analysis
Neural Decoding
Brain Signal Processing

Development Tools & Methodologies

Git
Docker
AWS
Hadoop
Apache Spark
Linux
CI/CD (Travis CI)
Scrum
Agile

Education

Master's in Computer Science

New York University, Tandon School of Engineering

2022 - 2024

Thesis: Dimensional Reduction Techniques for Neural Data
Supervised by Prof. Robert C. Froemke, focusing on statistical modelings on behavior learning at NYU Grossman School of Medicine's Neuroscience Institute
Coursework: Machine Learning, Artificial Intelligence, Discrete Mathematics, Operating Systems, Big Data, Software Engineering, Information Security and Privacy, Data Structures and Algorithms, NeuroInformatics

Activities & Leadership

NYU Cheerleading Club: Member of the Spirit Squad, representing NYU at various events
NYU Women in Mindfulness Fellowship: Engaged in mindfulness practices to promote well-being and focus
NYU ML Club: Participated in workshops and discussions on Machine Learning