Angela Sheu

VP of Engineering

Prophet Security

Dec 2025 - Current (9 months)

Prophet Security delivers an AI-native SOC platform that autonomously investigates and responds to threats with the speed, reliability, and scale modern security teams need.

Senior Director of Engineering, Head of Inbound Email Security

Abnormal AI

Mar 2025 - Nov 2025 (9 months)

I lead Abnormal’s Inbound Email Security Division, where we harness advanced AI to stop modern threats before they reach employee inboxes. Our solutions are trusted by over 20% of the Fortune 500 and safeguard against phishing, malware, ransomware, and social engineering.

Director of Engineering, Head of Detection

Abnormal AI

Mar 2023 - Mar 2025 (2 years 1 month)

At Abnormal Security, we use artificial intelligence to catch cyberattacks like ransomware, vendor fraud, and BEC. As the Head of Message Security Detection, I lead the Org responsible for stopping these advanced email attacks and providing AI solutions that protect more than 15% of the Fortune 500. I'm proud to support a cross-functional division of 50+ team members composed of Machine Learning Engineers, Software Engineers, Data Scientists, and Analysts. We're continuing to solve a hard machine learning challenge, which requires crafting solutions against adversarial, evolving attacks at increasingly large scale -- come join us!

Senior Engineering Manager, Detection Serving & Signals

Abnormal AI

Jan 2022 - Mar 2023 (1 year 3 months)

The Detection Serving & Signals team provides an ML Infra Platform that enables engineers to quickly and effectively improve Abnormal’s threat attack detection across all of our products, and to introduce new product lines. We're hiring! If you're interested in joining a fast-growing startup and building out systems to bring us closer to being the top cloud office cybersecurity company, feel free to message me or check out out some of our open roles at https://careers.abnormalsecurity.com/open-roles

Engineering Manager, Core Product Indexing (Indexing Core Entities)

Jun 2021 - Jan 2022 (8 months)

The Indexing Core Entities (ICE) team is responsible for streaming and batch frameworks to support User & Content understanding & indexing. We aim to provide infra support for fast content distribution and responsive recommendations.

Tech Lead, Core Product Indexing

Nov 2020 - Jun 2021 (8 months)

Architecting real-time, near real-time, and batch indexing applications & frameworks to power Pinterest's recommendation surfaces

Tech Lead, HomeFeed Infrastructure

Oct 2018 - Nov 2020 (2 years 2 months)

• Pixie: bipartite board-and-pin graph recommendation service that serves as one of the largest candidate sources for HomeFeed and Related Pins. Rearchitected the system to provide functionality to easily experiment with lightweight scoring and incorporate new signals into the graph index. • User signal development platforms that provide signals for query understanding, ranking, and retrieval across multiple Pinterest surfaces (HomeFeed, Related Pins, Search, Ads)

Software Engineer

Jul 2015 - Oct 2018 (3 years 4 months)

Homefeed/Recommendations: Infrastructure and Product Enablement • Pinnability ranking infra: DSL / scoring library, performance optimizations • Integrating different sources of content into the Homefeed and ensuring that the Homefeed has both quality and quantity of content

Software Engineering Intern

Google

May 2014 - Aug 2014 (4 months)

Complete revamp of targeting visualization for Google Adwords' Display Targeting Tab (DTT) • Replaced static images used to build a Venn diagram with circles that dynamically resized based on performance estimates of a given user's ads • Refactored codebase to standardize usage of the Aplos charting API in DTT • Introduced targeting visualization previously only present in DTT to the Construction flow page in Adwords

Undergraduate Researcher, ParLab

UC Berkeley

Aug 2013 - May 2014 (10 months)

Research under Prof. Ras Bodik • Research centered around extraction of unstructured data on the web • Utilized Naïve Bayes and SVM classifiers in analyzing text from public school websites • Implemented and compared SVM with dimensionality reduction and SVM with meta-features from clustering to SVM with no enhancements

Explorer Intern

Microsoft

May 2013 - Aug 2013 (4 months)

• Exchange Service Fundamentals Team, MOD • Created a search utility for the Exchange Code Coverage Website • Modified payloads tables and corresponding API & schema to make a reporting service

Student Researcher (Clark Scholars Program)

Texas Tech University

Jun 2011 - Aug 2011 (3 months)

Investigated maximum solubility levels of stigmasterol and ergosterol lipid bilayers.

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