Chen Zhao
@chenzhao
Experienced Senior Full Stack Engineer with a passion for AI solutions.
United StatesWhat I'm looking for
I am an impact-driven Senior Full Stack Engineer with over 12 years of expertise in building scalable web platforms, real-time machine learning systems, and cloud-native applications. My journey has taken me through significant roles at Google and Fireworks AI, where I have honed my skills in React, Next.js, TypeScript, and Python. At Google, I co-architected Vertex AI, which boosted machine learning deployment speed by 80%, and at Fireworks AI, I led the development of a cloud-based AI platform that achieved 99.9% uptime and supported thousands of enterprise users.
My professional ethos revolves around designing robust backend architectures and building responsive user interfaces. I have a proven track record of leading cross-functional teams to accelerate product velocity and engineering excellence. I thrive in environments that challenge me to innovate and push the boundaries of technology, and I am passionate about mentoring junior engineers to foster a culture of learning and collaboration.
Experience
Work history, roles, and key accomplishments
Senior Software Engineer
Fireworks AI
Jul 2022 - Present (3 years 1 month)
Led end-to-end development of a cloud-based AI platform, growing it from MVP to an enterprise-grade product supporting thousands of monthly users with 99.9% uptime. Engineered a modular, design-consistent front-end system using TailwindCSS, Zustand, and Redux, accelerating feature delivery by 40% and reducing UI maintenance overhead by 60%.
Staff Software Engineer
Oct 2020 - Present (4 years 10 months)
Led a 50+ person engineering team to build VertexAI, Google Cloud's flagship ML platform, delivering MLOps infrastructure and developer experiences. Architected and launched core components including Vertex Pipelines, FeatureStore, and Experiment Tracker, enabling 80% faster model deployment cycles.
Senior Software Engineer
May 2018 - Present (7 years 3 months)
Spearheaded full-stack development for Universal App Campaigns (UAC), delivering a real-time dashboard adopted by thousands of advertisers across Google Ads. Designed and deployed low-latency ML inference services using Java (SpringBoot), Docker, MySQL, and Cloud Pub/Sub, enabling real-time CTR/CVR/LTV predictions at global scale.
Software Engineer
Nov 2013 - Present (11 years 9 months)
Developed internal dashboards using AngularJS, HTML/CSS, and Google Cloud that enabled Ads and YouTube teams to visualize ML performance metrics, reducing model iteration time by 20%. Built backend services in Python (FastAPI) with Redis and PostgreSQL to automate data ingestion and ML training pipelines, increasing job throughput by 35%.
Education
Degrees, certifications, and relevant coursework
UBUniversity of California, Berkeley
Bachelor's Degree, Computer Science
2009 - 2013
Studied Computer Science at the University of California, Berkeley. Gained foundational knowledge and skills in various aspects of computer science.
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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