About Me
Industry-experienced Machine Learning engineer with an MS in Computer Science, specializing in NLP, Computer Vision, and data-driven decision-making. Worked as an AI Robotics Engineer, implemented an end-to-end robot motion system showcased to 10k+ visitors at the exhibition, which was the integration from voice-to-text, through text-to-command mapping, to motion execution, and also conducted extensive NLP research.
In academics, applied advanced Statistical Modeling to neural data, achieving dimensionality reduction and feature extraction, contributing to neuroscience research.
Skills
Programming Languages
- Python
- MATLAB
- C++
- SQL
ML / DS
- Multi-Modal
- NLP
- Statistical Modeling (PCA, TCA)
- Computer Vision
- CNNs
- Computational Neuroscience
- RNNs
- Reinforcement Learning
ML Algorithms
- SVM
- Random Forests
- Decision Trees
- Linear/Logistic Regression
- Hidden Markov Models
- K-means
- Kalman Filters
Software Skills
- TensorFlow
- PyTorch
- Keras
- Scikit-learn
- NumPy
- SciPy
- Pandas
- Matplotlib
- Jupyter Notebook
- Apache Spark
- Hadoop
- AWS
- Docker
- Git
- Linux
- CI/CD (Travis CI)
- Scrum
- Agile
Neuroscience / BCI / HCI
- Computational Neuroscience
- Neural Decoding
- Neural Data Analysis
- EEG Signal Analysis
Education
Master of Science in Computer Science
New York University, Tandon School of Engineering
2022 – 2024
Thesis: Tensor Component Analysis (TCA) for Neural Plasticity in Maternal Learning
Research at NYU Grossman School of Medicine's Neuroscience Institute
Supervised by Prof. Robert C. Froemke, focusing on Neural Decoding and Statistical Modeling in behavioral learning.
Activities & Leadership
- NYU Cheerleading Club
- NYU Women in Mindfulness Fellowship
- NYU ML Club