Portfolio

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Improving Netflix Recommendations Using Ensemble Models and Web Scraping

Developed a content/collaborative filtering recommendation system using PyTorch with web scraped metadata from IMDB, achieving significant RMSE reduction (69%) compared to the Netflix Prize winning algorithm (Belkor).

View code on Github

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Automated Sizing Inference through Machine Learning Image Analysis

Devised and executed a precise and scalable strategy for extracting data points from a 2D image using Kubernetes, machine learning models, and computer vision libraries, accessible through a REST API interface.

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A Simple Language Compiler - SimpleC

The SimpleC compiler compiles a custom programming language into Java or x86-64 (AT&T style) assembly code. It supports many critical compiler features including lexical analysis, syntactic analysis, semantic analysis, and intermediate/target code generation.

View code on Github

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Automatic Pre-Registration Script for IMLeague Events. - CurlForACurl

This project was created because I was tired of not being able to secure a spot for a yoga class at my college gym. The project’s name is a slight play on words referring to the curl Linux command-line tool and curling weights.

View code on Github