About Me
I am a recent Computer Science graduate from Columbia University with a strong foundation in full-stack development, data science, and machine learning. I’ve held several machine learning research and software engineering roles and have experience applying my knowledge in software and statistics to domains ranging from computational neuroscience to automatic speech recognition. Please feel free to reach out with any opportunities or simply to connect!
Languages
Front and Back End
Data Analysis and Machine Learning
Projects
Home Cooking Helper
This web application serves as a comprehensive platform for home cooking, where users can receive guidance on anything they would need to know to prepare food in the comfort of their own home.
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Factory Workflow Tracker
A lightweight Manufacturing Execution System (MES)-inspired web app simulating job orchestration and monitoring in a factory environment.
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Bird, Dog, or Reptile?
This research project proposes and implements a hierarchical image classification model using a two-headed ResNet-50 architecture to classify animal images into both coarse (bird, dog, reptile) and fine-grained (chihuahua, rooster) categories, while handling unseen sub-classes via threshold-based novelty detection.
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Action Segmentation and Behavioral Analysis in Mice
This is the code I wrote for my Computational Neuroscience Research internship in which I developed diagnostics to assess the efficacy of Temporal Convolutional Network (TCN) models in predicting behavioral states of mice.
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TDNN-Conformer
This research paper proposes and implements a modification to the Conformer model for the task of automatic speech recognition.
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Wikipedia Article Clustering
This project fetches and preprocesses Wikipedia articles, converts the text into semantic embeddings using Sentence-BERT, and then applies UMAP for dimensionality reduction and K-Means clustering. It then creates an interactive scatter plot that visualizes the clustered articles, allowing users to explore their relationships based on semantic similarity.
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Bitcoin Price Tracker
This code implements a real-time Bitcoin price tracking application built with Elixir and Phoenix, featuring LiveView for real-time updates and PostgreSQL for price history storage.
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Exploring the Determinants of Life Expectancy
This project develops a statistical model to examine the relationship between life expectancy and various social, economic, political, and geographic variables.
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State Space Model POS Tagger
This project implements a state space model-based Part-of-Speech tagger using MATLAB.
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Wonderful Workouts
This web application serves as a platform to teach individuals the basics of weight training, allowing users to learn new exercises and create their own custom workouts.
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Neural Network Dependency Parser
This code implements a neural network-based dependency parser implemented in PyTorch that predicts transitions for an arc-standard dependency parser.
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CKY Parser
This project implements the Cocke-Kasami-Younger (CKY) algorithm for parsing Context-Free Grammars (CFG) and Probabilistic Context-Free Grammars (PCFG).
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Trigram Language Model
This project implements a trigram language model in Python for text analysis and essay classification.
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Personal Portfolio
This website! I designed and created this site from scratch using Next.js, Tailwind CSS, and Framer Motion.
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