Lead Software Engineer for the Personalized Deals Feed - found at the front door of capitaloneshopping.com and the mobile app.The Personalized Deals Feed is a social media feed of all the best deals across the internet, tailored to the users interests.It is used by tens of thousands of people every day, and revenue has 10X'd since the products inception under my leadership.I lead many technical and business decisions that led to the growth of this product.- Designed, built, and iterated on the Algorithm that powers the personalization of the feed. This involves many machine learning and statistical concepts such as Neural Networks, Gradient Boosting, and Thompson Sampling to maximize user interest.- Scaling the application as it grew from a POC to thousands of active users. Utilized Redis, Cassandra, and container orchestration tools to do so.-------------------------Lead Software Engineer - Machine LearningIn Spring 2024, I moved to a new role to lead Machine Learning initiatives across Capital One ShoppingUtilizing next-gen AI tools to create personalized experiences across the business.

Full-Stack Engineer

DevOps and Data Engineer on the team that manages Capital One's internal networkMigrated applications onto Kubernetes (KOPS) cluster, and build push-button CI/CD system for automated deployments. This increased application uptime and expedited feature delivery for application teams.Technologies used: AWS, Jenkins, KubernetesBuilt network data platform for collecting, transforming, and internally publishing network device logs. This allowed for enhanced monitoring of the Capital One network, and improved cyber compliance with data tracking.Technologies used: Python, Kafka, AWS, Terraform

Digital Technology Leadership ProgramManaged software errors and outages to repair applications used in four different continents.Automated data analytics using Tableau, python, and SQL. Dashboards used by upper level management to track and improve functionality of over eighty applications.

Utilized LAMP stack with frontend ReactJS to plan, build, and maintain internal product search engine used to match hundreds of customers to their perfect wine every day.Invented AI algorithm that can identify flavor characteristics in a user’s review and automatically recommend wines based on their language.

Primary engineer on tiger team created to help financial advisors keep track of time and money spent oneach client. Utilized entrepreneurial thinking by learning pains of potential customers to innovate a solution.Created architecture of Full-stack JavaScript application that automatically segments our customers clients and allocates resources to each. Piloted software in three offices across USA with plans to push further.

Data Structures and Algorithms

Applied Machine Learning and Big Data skills to predict stock price movements.Authored "Forecasting Stock Prices Using Social Media Analysis". Paper accepted into IEEE Datacom 2017 and has been cited over 30 times.