• Inherited legacy front end codebase and scaled out back end to store 10M primary records • Architected and created documentation for back end CRUD API to handle increased traffic • Deployed and utilized NginX caching and load balancing with 4 copies of service to increase RPS by > 200% with < 2,000 ms response time and < 1% error rate • Stress tested with Artillery.io in development and Loader.io in production in order to optimize performance and eventually reach goal of 450 RPS (initial RPS of 50)

React | HTML | CSS | NodeJS | Express | MongoDB | Jest | Enzyme | Webpack• Designed dynamic front end to stylistically resemble an actual Airbnb listing. • Engineered reviews service to allow for filtering of reviews based on user review search, as well as review display via popup modal. • Deployed a reverse proxy using Express to AWS rendering all microservices for any given listing.

• Member of Yelp’s Fraud Analytics team to focus on fraudulent activities investigations, including but not limited to site abuse, transaction/ payment fraud and suspicious trends.• Run SQL queries to get relevant information out of large databases and perform data analysis as well as visualization using Splunk and Tableau.- One of the founding members of the Technical Spam Operations sub-department. Working alongside Trust & Safety and Machine Learning Engineers to identify trends to automate our spam detecting system. - Identifies external violators of site guidelines, then facilitates the conversation to resolve issues or escalates to Legal, if needed. - Works cross functionally with PR, Content Moderation, and Engineering to issue consumer and IP alerts to verified candidates of scaled abuse on the site. - Analyzes metrics for spam investigations to reduce abuse and improve user experience.- Helps build reports on findings that go out to all involved parties, while Identifying needs to streamline the process and clearly communicate those to the point person or manager.- Brainstorms and suggests ways to prevent future scaled abuse to Product team.- Handles external and internal sales escalations regarding Trust & Safety violations.- Conducts channel partner audits to ensure partners are in compliance with Site guidelines and escalates penalty suggestions to stakeholders, if they are not. - Trains new team members on Trust and Safety policies and current procedures.

• Devised and executed a variety of data quality and data analysis projects, including site-wide listing cleanups and proactive data quality policies and initiatives• Responsible for mass data updates leveraging complex Excel templates and Yelp's back-end software- Managed internal escalations from sales, revenue operations, product, finance, and legal, as well as external support escalations from users- Utilized Salesforce and Desk to manage user support, as well as develop and iterate on the Yelp Sales QA framework- Provided quality assurance and developed training systems for use by multiple teams across the company