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, computer vision, and understanding neural systems.
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.
Skills & Technologies
Programming Languages
- Python
- C++
- MATLAB
- SQL
- R
Machine Learning
- TensorFlow
- PyTorch
- Keras
- Scikit-learn
- Reinforcement Learning
- GANs
Data Science & Analytics
- Pandas
- NumPy
- SciPy
- Statistical Modeling (PCA, TCA)
- Time-Series Analysis
Computer Vision
- OpenCV
- CNN
- Object Detection
- Image Processing
- Kalman Filters
NLP & AI
- NLP
- Symbolic Reasoning
- LSTM
- BERT
- GPT-2
- MeCab
Tools & Platforms
- Git
- Docker
- AWS
- Hadoop
- Apache Spark
- Linux
- CI/CD (Travis CI)
Education
Master's in Computer Science
New York University, Tandon School of Engineering
2022 - 2024
- Thesis: Supervised by Prof. Robert C. Froemke, focusing on computational neuroscience neural data modeling at NYU Grossman School of Medicine's Neuroscience Institute
- Coursework: Machine Learning, Artificial Intelligence, Discrete Mathematics, Operating System, Big Data, Software Engineering, Information Security and Privacy, Data structure and Algorithm, NeuroInformatics (auditing)
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