AI × Security Engineering

Making autonomous security validation trustworthy.

I build and lead agentic AI systems for bounded, evidence-driven security testing—helping teams move from vulnerability discovery to verified exploitable risk.

Authorized by design

Verified by evidence

Explainable in operation

Technical thesis

Trust is a system property.

Autonomous security testing needs more than capable models. It needs enforceable boundaries, defensible evidence, and operator control.

01

Bounded autonomy

Security agents should act only within explicit authority, scope, and control boundaries.

02

Verified exploitability

Findings become useful when evidence distinguishes theoretical exposure from demonstrated risk.

03

Agentic system security

Identity, authorization, tool use, memory, and human intervention belong in the agent threat model.

04

Operational trust

Reproducibility, audit trails, and explainable decisions turn autonomous testing into accountable practice.

Selected product work

Built systems, documented reception.

These case studies separate my contribution from external evidence about the product, selection, or use.

Multimodal AI · Communication coaching · 2019–2023

TalkMeUp

Co-founder and CTO

An AI-powered communication-coaching platform that turns video, audio, and language signals into structured feedback. The product was designed to make repeated practice and individualized guidance available beyond a live classroom or coach.

What I contributed

  • Led product and engineering work from early concept through a scalable, cloud-delivered system.
  • Designed the multimodal analysis workflow across video, audio, transcripts, and derived communication signals.
  • Integrated deep-learning models, language models, signal-processing models, and rule-based engines into one user-facing product.
  • Modernized the platform from a monolithic application into a cloud-native distributed-services architecture.
  • Established automated delivery and quality-control foundations for repeatable product releases.
  • Worked across model development, backend architecture, product delivery, engineering leadership, and enterprise deployment rather than treating AI as an isolated prototype.

Applied AI · Children’s nutrition · 2018–2019

LittleMoochi

Co-founder and engineering contributor

A free, mobile-first learning experience that used an AI-powered virtual pet to make healthier eating choices concrete and engaging for children. Meal photos became the input to a loop connecting food recognition, nutritional guidance, and play.

What I contributed

  • Helped build the cross-platform mobile application and cloud-native backend from the ground up.
  • Led development of multimodal neural-network components for recognizing food ingredients from meal photos.
  • Connected recognition results to a personalized food-recommendation system and the virtual-pet interaction loop.
  • Worked across the application, backend, data model, cloud infrastructure, and machine-learning layers of the product.
  • Supported partnerships, user outreach, and community programs in addition to the engineering work.
  • Participated with the team in NSF I-Corps and the CMU/Ascender entrepreneurship ecosystem, using external feedback to refine the product and its delivery model.

Recognition and reach

Recognition earned. Impact documented.

Awards matter most when the record also shows what was built, who used it, and how the evidence connects to my work. Every item below carries its attribution and timing.

Evidence-led impact

The latest reach report is shown once. Historical reach milestones remain in the evidence record, while distinct outcome, program-scale, adoption, and distribution measures stay separate.

LittleMoochiLatest stakeholder-reported reach · July 2026

78,000

students reached

A program stakeholder directly thanked Yi for his contribution to LittleMoochi’s growth and reported this continuing reach milestone.

Preserved private correspondence; the measurement definition and total are not yet independently audited.

Source preserved privately
LittleMoochi programFood Helpers · 2024–25 school year

75,000+

school snack packs

Food Helpers documented the scale of the school program in which the app supports nutrition education.

Snack packs are program activity—not app users or Yi’s personal reach.

View source
LittleMoochiFood Helpers support letter

77% / 63%

reported behavior outcomes

The letter reported that 77% of sustained users maintained or improved weekly nutrition scores, and more than 63% of recommended foods appeared in intake within two weeks.

Letter-reported results; underlying data and methodology have not been independently audited.

Source preserved privately
TalkMeUpPublic adoption report · 2023

3

universities

Faculty from Wellesley College, St. Lawrence University, and Texas Christian University described using TalkMeUp with students.

Institutional use is separated from company-reported performance multipliers.

View source
TalkMeUpCustomer quotation · 2022

Hearst

enterprise adoption

A Hearst executive publicly described selecting and expanding TalkMeUp for leadership communication development.

Customer use is documented; performance figures remain company-reported.

View source
TalkMeUpAWS and Zoom listings

2

public marketplaces

Public listings made the platform discoverable and deployable through established cloud and collaboration ecosystems.

Marketplace availability is distribution evidence, not sales or endorsement.

View source

Complete recognition record

Awards, finalist placements, and competitive selections

Product and team recognition is not presented as a personal award. The labels show whether an item occurred during, before, or after my documented role.

TalkMeUp

Yi served as co-founder and CTO during 2019–2021 and 2022–2023.

  1. 2021SXSW Pitch — Future of Work finalistExternal selection · during tenure
  2. 2021GSV Cup Elite 200 semifinalistExternal selection · during tenure
  3. 2022Three Brandon Hall Group Gold awardsProduct awards · during tenureBest Advance in Unique Learning Technology · Best Advance in Sales Enablement and Performance Tools · Best Advance in AI for Business Impact
  4. 2023Top Advanced Learning Technology CompanyTraining Industry selection · during tenure
  5. 2018UpPrize Great Solutions Challenge — first place and $150,000 grantCompany history · before Yi’s documented tenure
  6. 2024Top AI in Training Companies selectionCompany recognition · after Yi’s documented tenure
  7. 2024EdTech Awards — artificial-intelligence solution finalistCompany recognition · after Yi’s documented tenure

LittleMoochi

Yi co-founded the product and led core app, backend, and AI development.

  1. 2019NSF I-Corps site-team selection at Carnegie MellonInstitutional selection · Yi named on team
  2. 2019McGinnis Venture Competition — second place, graduate trackTeam award · Yi named on team
  3. 2019Forté Power Pitch — judges’ selection and audience favoriteTeam awards · $10,000 total
  4. 2019CASTP technology competition — first placeTeam award · organizer-verified
  5. 2020Rice Business Plan Competition — selected among 42 teamsExternal selection
  6. 2020Ascender, TiE Pittsburgh, and LiftOff PGHIncubator · finalist · third place and $10,000Ascender incubator participant · TiE Pittsburgh Startup Showcase finalist · LiftOff PGH Ideathon third place
  7. 2023CAST-USA Outstanding Innovative Enterprise AwardEnterprise award · Yi represented LittleMoochi

Evidence standard: public organizer, institutional, customer, marketplace, or publisher records where available. The July 2026 LittleMoochi reach figure is stakeholder-reported from private correspondence and is not yet independently audited.

Public work

Security writing, research, and invention.

Public records with stable source links and precise authorship or inventor attribution.

Inventive record

Interactive AI systems

Named inventor on patent families for AI systems that analyze multimodal communication and generate structured feedback.

About

I translate ambitious AI ideas into systems people can operate, inspect, and trust.

Formal name: Yi Xu · Professionally known as Oliver Xu

I’m an AI and software engineering leader with more than two decades of experience building products and leading teams across cybersecurity, AI infrastructure, communication intelligence, and enterprise software.

My current focus is trustworthy agentic AI for autonomous penetration testing and continuous security validation. Earlier work spans large-scale infrastructure optimization, machine-learning retrieval, multimodal analysis, and AI-powered communication coaching.

Carnegie Mellon University

Master of Information Systems Management

University of Science and Technology of China

Master’s and Bachelor’s in Computer Science

Watch: AI and ChatGPT at the 2023 Silicon Valley Entrepreneurship Forum

Career throughline

From enterprise systems to trustworthy agents.

2025–present

Ridge Security Technology Inc.

Senior Director of Engineering

Agentic AI security and autonomous security validation

2024–2025

Meta

Core System Engineering Manager

Large-scale infrastructure planning and optimization

2019–2023

TalkMeUp

Co-founder and CTO

Multimodal AI communication assessment and coaching

2021–2022

ElectrifAi

Senior Director

Machine-learning products and backend engineering

2018–2019

LittleMoochi

Co-founder

Applied AI for children’s nutrition education

2017–2018

PwC

Senior Manager, AI Solutions

Enterprise machine-learning solutions and team building

2005–2017

Hewlett Packard Enterprise

Engineering manager and software engineer

Enterprise discovery software and globally distributed engineering

Connect

Let’s advance trustworthy agentic security.