• Added multithreading to load testing which improved performance by 70%

• Added load test capability to mimic production traffic of black friday, sending 700 million emails

• Created the capability for my team’s pipeline to load test without downstream dependencies: more Agile

• Piloted load tests: coordinated with other teams, ran the load test, identify issues & improvements

• Added auto buttoning for bloom filter creation that avoided multiple pages per month, saving developer hours

Led project using AI to read SEC filings and produce structured data on CEO & executive compensation

Performed analysis on data using machine learning, calculating sharpe ratio, alpha, markowitz optimization

• Implemented time series forecasting models with PyTorch to predict unseen radar pulse width from time series data. Models included: univariate & multivariate LSTM, ARIMA, Holt-Winters, and time-series Transformers

• Developed a novel and creative method for models to predict accurately with <1% deviation from true values

• Created a Chrome extension, allowing users to save information found online to their personal database for RAG

• Added an interactive visualization feature to the main website, allowing users to see their “knowledge graph”

• Involved in decision-making processes for coding projects, developing leadership skills and using creativity to balance technical requirements with a growing understanding of business strategies

Co-facilitated engaging learning experiences, introducing high school students to the fascinating worlds of JavaScript and Python programming languages.

Nurtured the next generation of coders by imparting valuable skills and exposing them to the creative possibilities of p5.js and processing coding libraries.