Zhen Han

Co-Founder

United States7 yrs 8 mos experience

AI EnabledHighly Stable

Key Highlights

Founded Appifex, revolutionizing app development with AI.
Led infrastructure for Google Ads, processing petabytes of data.
Built AI features for Google Assistant, impacting billions.

Stackforce AI infers this person is a SaaS and AdTech expert with extensive experience in AI and infrastructure.

Contact

Skills

Core Skills

Software InfrastructureMachine Learning

Other Skills

Data ProcessingCloud InfrastructureSoftware DevelopmentArtificial IntelligenceEntrepreneurshipFull-Stack DevelopmentContinuous Integration and Continuous Delivery (CI/CD)Architectural DesignJavaC++PythonNLPData AnalysisData MiningStatistical Modeling

About

After 7 years building AI experiences and large-scale data infrastructure across Google Assistant and Google Ads, I left to build Appifex.ai. At Google, I shipped ML-powered features to billions of users, led platform unification across 5+ systems, and delivered regulatory initiatives that reduced multi-billion-dollar exposure. I saw firsthand how much infrastructure it takes to ship a production app and how inaccessible that remains for most creators. Appifex is an AI-powered platform that generates production-ready full-stack apps, with database, auth, payments, 3rd party integrations, etc, deployed and live, not prototypes. Describe what you want to build, iterate with AI, and ship it. Previously: Software Engineer Tech Lead, Google (2019–2025) • MS Computer Science, Brown University

Experience

7 yrs 8 mos

Total Experience

3 yrs 6 mos

Average Tenure

7 mos

Current Experience

Appifex

Founder

Oct 2025 – Present · 7 mos · San Francisco, CA · Remote

Building Appifex — enabling builders to create production-ready web and native mobile apps with AI, fast.
Appifex provides the complete engineering environment where AI agents generate, build, test, deploy, observe failures, and fix them, from code generation through production, accessible from anywhere: browser, mobile, CLI, Slack, GitHub.
As models get more capable, the bottleneck shifts entirely to this feedback infrastructure. We're building it.

Google

2 roles

Software Engineer

Promoted

Aug 2021 – Oct 2025 · 4 yrs 2 mos · Mountain View, California, United States

Google Ads (Display Ads Infrastructure) - Led large-scale user data processing + serving infrastructure across 5 platforms for Google’s Display Ads business.
Built and operated reliable, scalable infrastructure processing petabytes of data for billions of users
Owned end-to-end pipelines from user data ingestion → processing → ranking/serving across online & offline systems
Drove team adoption of AI-powered developer tooling (codegen, automated migrations, intelligent code review, code-assistant agents) to accelerate engineering velocity across 5 platforms
Provided deep technical leadership across partner teams; set architecture direction, quality bars, and operational excellence

Software InfrastructureMachine Learning

Software Engineer

Feb 2019 – Aug 2021 · 2 yrs 6 mos · Mountain View, California, United States

Google Assistant (AI & Conversational Experiences) - Built AI-powered features across Google's smart device ecosystem serving billions of users.
Led ML-powered personalization integration across the Assistant media journey
Built dynamic conversational execution graphs powering voice-based user experiences
Implemented critical regulatory compliance changes on Assistant and drove cross-org alignment

The university of auckland

Teaching Assistant

Feb 2016 – Jul 2016 · 5 mos · Auckland, New Zealand

Held tutorials and graded assignments for the course STATS220 Statistical Theory.
Demonstrated hands-on labs for students to help them better to understand probability theorem and varies discrete & continuous distributions, to explore variances & covariances analysis, likelihood estimation, and hypothesis testing using Python, R, and SAS etc.