Peter Zhu
@peterzhu1
Senior full-stack software engineer building scalable, AI-enabled platforms.
What I'm looking for
I’m a Senior Full-Stack Software Engineer with 8+ years designing and delivering scalable, high-performance applications across enterprise, aerospace, semiconductor, and autonomous systems. I bring strong expertise in Java, JavaScript, TypeScript, and Python, plus deep experience with React.js, Next.js, Node.js, and cloud-native architectures on AWS.
I lead end-to-end software lifecycle delivery—from system design to deployment, testing, and production support. In my current role, I’ve built full-stack architecture for autonomous vehicle systems using Java/TypeScript, developed microservices for real-time telemetry processing, and implemented event-driven communication with MQTT; I also integrated AI/ML into production via Python-based services and OpenAI APIs for anomaly detection and predictive maintenance.
Experience
Work history, roles, and key accomplishments
Staff Full Stack Engineer
AV
Oct 2023 - Present (2 years 9 months)
Led full-stack architecture for autonomous vehicle systems, building microservices and event-driven telemetry/sensor processing. Developed AI-assisted monitoring and real-time AI/ML pipelines using MQTT and OpenAI APIs on AWS.
Developed enterprise-grade Java applications using Spring Boot, React, and TypeScript within the Oracle cloud ecosystem. Implemented RESTful and GraphQL services, performance tuning, and automated testing with CI/CD.
Assisted in development of Java-based backend services and contributed to React frontend components under senior supervision. Supported REST API development/testing and worked on basic AI/ML experimentation and CI/CD improvements.
Supported system integration for semiconductor manufacturing equipment, building Java automation scripts for testing and validation workflows. Applied AI/ML data analysis for predictive equipment diagnostics and contributed to documentation and reliability improvements.
Quality Engineering Intern
Meggitt
May 2018 - Aug 2018 (3 months)
Supported quality assurance processes in aerospace manufacturing systems by analyzing production data and building predictive quality inspection models. Created dashboards for quality metrics and supported root-cause analysis and compliance documentation.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Science, Computer Science
2017 - 2021
Earned a B.S. in Computer Science from UC Berkeley College of Engineering (2017–2021).
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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