• Lead several efforts to develop and deploy Rate Limiting algorithms, leading to a

80% reduction in scraping risk across the Meta family of apps.

• Led the design and implementation of KCIs aligned with FTC requirements for Rate Limits safeguarding.

• Acted as a strategic advisor to partner teams on designing effective rate limiting and abuse prevention mechanisms.

• Mitigated scraping risks across multiple large-scale launches while preserving development velocity and minimizing impact on legitimate users.

Currently working as a Systems Engineer dedicated to reducing scraping risk across the Meta family of apps.

• Owns several projects to reduce scraping risk across the Meta family of apps.

Served as a Product Engineer on the Advertiser Guidance team and built several 0-1 products to help advertisers improve their advertising campaigns and reach their business goals.

• Owned several key business projects and areas that directly contribute to the company's top line metrics.

• Developed several advertiser guidance products to help ensure advertisers are able to reach their business goals.

• Product side point of contact for Reach and Frequency, a product that generates between $1 to $2 Billion of revenue annually.

• Developed solutions to combat offsite website data loss caused by different regulatory changes (ePD, iOS14).

• Participated in team and organization-wide discussions to align on product and engineering decisions.

• Implemented an "Execution Mode" for the Marconi Command Line Interface (MCLI) which allowed for commands to be injected and run directly.

• Developed a distributed system (titled dvpn) to handle Socks5 proxy creation and discovery.

• Designed and implemented a VPN client using react-native and android to be used to connect to the dvpn system.

• Represented the company at Milcom 2019, a military communications conference.

• Designed and implemented an automated browser (Selenium, PhantomJS, Puppeteer) detection system using Hack and JavaScript.

• Integrated automation detection system across multiple Facebook surfaces.

• Devised methods to classify Headless Chrome activity.

• Took charge in designing and implementing a Client Signal Collection Infrastructure system used to support larger Anti-Scraping team efforts.

• Constructed the master client signal list used for bot detection.

• Built an extensible Python-based Selenium Scraper used to validate detection efforts.