Working on Trust and Safety

Protect people’s data from scraping

Trust and Safety

Protect people's data from scraping.

Scaling the systems that enforce FB Community Standards.

Protect FB ads products from risks and harmful behavior.

Protected FB business products from abuse.

Protected the FB platform from abuse.

Protected the FB platform from abuse. Built system to detect and enforce on abusive platform apps and FB pages. Built abuse investigation tools. Built a quality scoring system for platform apps. Built classifiers to detect and respond to clickjacking attacks on social plugins. Worked on several other aspects of protecting platform attacks, including API rate limiting system and security settings for developers.Spam@Scale Talk: https://www.youtube.com/watch?v=0ih8TSXi3e4F8 Security Talk: https://www.facebook.com/FacebookforDevelopers/videos/10152795636318553/

Developed data warehouse for Windows performance telemetry data. Conducted linear regression analysis to flag issues. Developed data visualization tools.

Built and deployed performance testing automation for various server workload configurations on Hyper-V. This enabled early detection of performance regressions during development of Windows Server 2008 R2. Also performed analyses to understand how virtualized workloads would perform on experimental high-performance server designs.

Researched and prototyped algorithms to rank entertainment venues based on user preferences and social network.

- Developed an algebraic theory of fast algorithms for discrete 2D time signals.- Published conference paper, Alternatives to the Discrete Fourier Transform.