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Academic Background

Teaching Assistant
Fall 2024

Experience & Skills

Carrier Corporation

Software Engineer Intern

Built data pipelines to retrieve product drawings and convert them to viewable assets by utilizing S3 buckets in order to cache converted images and expand bottlenecks, predicting product asset retrievals and slashing avg. response times by 30%

Proposed and built automated end-to-end regression test miner and suite with Cypress, jQuery, and Python, resulting in a 2.5x time reduction and a subsequent migration for the entire QA team to test for catalog defects in NA, Asia, and EMEA

Introduced containerized tests into CI/CD pipeline using Docker and Jenkins as part of software development lifecycle

Deployed a client-facing sales web app using React alongside Material UI and custom components for frontend & utilized internal framework to define backend dependencies for a specific product line which will service ~2000 customers/year

May 2024 - Present

Yelo (Prev. Desi)

Software Engineer Intern

Built dynamic ride handlers and refactored pre-existing endpoints with TypeScript through native integration with Firebase Cloud Functions resulting in 15% faster request response resolution times

Introduced unit tests into team’s development workflow with Mocha to validate and test changes on updated features

Led transition to new backend server by building tri-layer handler, service, and repository architecture in Golang and validated requests by handling I/O with middleware, error functions, & user authentication through JSON Web Tokens

Rider
Driver

University of Notre Dame

CSE 20110 Teaching Assistant

Graded homework and tests while providing detailed feedback for proofs on logic, set theory, and number theory

Assisted 20-30 students a week by conducting office hours, resulting in a 4.9% higher final grade of active attendees

August 2023 - December 2023

Rochester TRIPODS REU

Research Assistant

Engineered artificial neural networks using TensorFlow and Pandas in Jupyter notebook to predict retail data trends using time-series data of 200 economic indicators, resulting in a 30-50% reduction in loss on highly correlated factors (Year 1)

Developed Q-learning and Monte Carlo method-based models in the context of reinforcement learning. (Year 2)

Implemented discrete neural networks utilizing groups and morphisms in universal algebra and category theory (Year 3)

My Projects

Boeing Aircraft Maintenance Solution

Led and developed an end-to-end 95% accurate NLP solution integrated with a web application and API to classify maintenance reports for a data science team at Boeing

Skills: React, Flask, Support Vector Machines, Universal Sentence Encoder, CSS

Buff163 - CSGO Market Bot

Automated the purchase of assets on a trading site by implementing a “sniping” feature for filtered items. Developed further iterations of bot for clients by utilizing asyncio and reverse-engineered APIs to increase efficiency.

Skills: Python, ChromeDriver, Selenium, asyncio, multithreading