My Projects
Attention-Enhanced Text Classification
Developed an attention-based neural network in PyTorch for multi-class classification of 2M+ financial consumer complaints, improving accuracy over baseline NLP models.
Nov 2023 - Feb 2024
Graph-Based Personalized E-commerce Recommendation Engine
Developed a graph-based recommendation system using DeepWalk, Node2Vec, and FAISS for efficient similarity search on e-commerce clickstream data, enhancing product recommendations.
Nov 2023 - Feb 2024
Gesture Genie
Integrated Magenta's Piano Genie with Google's Hand Tracker to create a deep learning based, user-friendly musical tool for generating music through hand gestures.
2020
RNNs for Visual Question Answering (VQA)
Improved VQA systems by integrating modern text-processing techniques and experimenting with combinations of high-performing neural network architectures.
2020
Airbnb Price & Superhost Prediction
Used advanced machine learning techniques to predict Airbnb listing prices and identify 'Superhosts'. Achieved 91% accuracy on test data.
2019
American Sign Language Recognition using Deep Learning
Developed a deep learning model for recognizing American Sign Language (ASL) gestures, comparing various architectures including CNN, VGG16, Inception Net, and RESNET.
2019
Machine Learning Characterization in Low Power Embedded Device System
Developed machine learning programs for low-power embedded devices such as Arduino and Raspberry Pi 3, testing their processing capabilities for ML applications.
2019
Text Classification and Sentiment Analyzer
Developed a system capable of classifying user input into distinct categories and performing in-depth sentiment analysis, using the Lime architecture for model explanations.
2019
Portable Navigation System Design for Visually Impaired Individuals
Developed Python scripts to create a portable navigation system for visually impaired individuals during an internship at Bangkok University Robotics Lab.
2017