remote, work time flexible
Cheng Zhang
@chengzhang
A software engineer with expertise in front-end and back-end development and AI infra.
What I'm looking for
I am a skilled software engineer with expertise in front-end and back-end development. With a Master's in Computer Science and experience at companies like Unfrozen and Yuanfudao, Cheng has built scalable applications and optimized performance. Passionate about blockchain and innovation, Cheng thrives in collaborative environments. An avid skier, Cheng brings resilience and a dynamic perspective to challenges.
Experience
Work history, roles, and key accomplishments
Lead Software Engineer
Urfrozen
Jun 2023 - Jan 2025 (1 year 7 months)
Led a 5-person team in managing a B2B e-commerce platform using UniApp (frontend) and Spring Boot + AWS (backend). Delivered multilingual support and cross-platform deployment (iOS, Android, Web, H5). Optimized global homepage response time to under 500ms.
Senior Software Engineer
Sensors Data
Jun 2020 - May 2023 (2 years 11 months)
Led retention and lifecycle modules for a marketing analytics SaaS platform; delivered bug-free, micro-frontend–compatible features with 100% client satisfaction. Optimized data-heavy visualizations, reducing response time from 800ms to 100ms.
Software Engineer
yuanfudao
Jul 2018 - Aug 2020 (2 years 1 month)
Developed hybrid mobile features with iOS/Android teams for an education app, scaling from 0 to 10M users. Achieved 98% compatibility across versions/devices and 99% user satisfaction. Built a Node.js-based PDF rendering microservice handling 1000 QPS using open-source browser engines.
Front-End Engineer
NetEase Happy E-Commerce
Jul 2016 - Jun 2018 (1 year 11 months)
Participated in full-stack frontend development (PC and mobile) for NetEase E-commerce, supporting tens of millions of users through component refactoring and performance optimization, maintaining a 99.99% system availability rate.
Education
Degrees, certifications, and relevant coursework
Fairleigh Dickinson University
Master of Science, Computer Science
2023 - 2024
Grade: 3.95
Peking University
Master of Science, Geographic Information Science
2013 - 2016
Grade: 3.9
Tech stack
Software and tools used professionally
Availability
Location
Salary expectations
Social media
Job categories
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