Hi, I'm Yuhao Zhang - Staff Software Engineer at Ad Spam at Google
I am passionate about transforming complex mathematical concepts into powerful, scalable software. I thrive when tackling high-stakes technical problems in collaborative environments where innovation meets impact.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Contributed to early engineering efforts at Snap Inc. before moving into specialized data safety roles at Google.
Currently serves as a Staff Software Engineer focused on ad integrity and complex machine learning safety systems.
Offers expertise in scaling backend infrastructure, mobile product development, and machine learning model optimization.
🚀 Career trajectory
Foundational Growth
Began as a software engineer at Snap Inc., building core features within a rapid-growth startup environment.
✦ Scale
✦ Mobile
Specialized Mastery
Transitioned to Google, focusing on complex safety and data integrity challenges across multiple product lines.
✦ Ad-Safety
✦ Machine Learning
Staff Leadership
Currently influencing high-level engineering strategy and system architecture at a Staff Software Engineer level.
✦ Architecture
✦ Leadership
💪🏻 Superpowers
Algorithmic Precision
Engineering high-performance systems through mathematical rigor
✦ Architected large-scale data processing pipelines to mitigate complex system vulnerabilities.
✦ Applied statistical modeling to optimize machine learning prediction accuracy in production.
Full-Stack Versatility
Navigating the entire product lifecycle from mobile to server
✦ Engineered end-to-end mobile and web applications with seamless interface performance.
✦ Integrated cross-platform frameworks to streamline product feature delivery.
Collaborative Problem Solving
Fostering team excellence through proactive communication
✦ Guided cross-functional teams to resolve critical technical bottlenecks during high-pressure cycles.
✦ Facilitated knowledge sharing to elevate collective engineering standards.
I'm excited about
✦ Exploring cutting-edge research in large language models and generative AI applications.
✦ Connecting with peer engineers to discuss high-scale backend architectural patterns.
✦ Identifying opportunities to apply predictive modeling to emerging tech challenges.
I can help with
✦ Mentoring junior engineers on high-performance system design and architecture.
✦ Advising on the transition from individual contributor to technical staff roles.
✦ Reviewing backend infrastructure for data-intensive applications and scalability.
I would love your help on
✦ Insights into the evolving landscape of AI-driven startup innovation.
✦ Networking with peers interested in deep-tech and system-level engineering.
✦ Perspectives on current trends in mobile development architecture and tooling.