Qiwei Jin
@qiweijin
Full-stack software engineer delivering scalable ad-tech and finance systems with low-latency SLAs.
What I'm looking for
I am a full-stack software engineer with 7+ years building high-performance platforms for ad tech and financial services, delivering mission-critical services with millisecond-level SLAs. I design and implement distributed backend systems in Java and Kotlin, build React/Next.js frontends, and operate services on AWS with Docker and Kubernetes.
I have led backend engineering for interactive workflow tools and ad platforms, implemented gRPC/Protobuf and REST APIs, optimized storage with Redis and Cassandra, and mentored junior engineers to improve reliability and observability. My work focuses on scalable architecture, real-time data processing, and measurable product impact for millions of users.
Experience
Work history, roles, and key accomplishments
Engineered full‑stack Ads Platform features delivering high‑performance search, ad ranking and real‑time bidding serving millions daily; built React/Next.js dashboards and designed distributed Java/Kotlin backend services to meet millisecond SLAs.
Built full‑stack Bloomberg Terminal features combining React UIs and Java Spring Boot services for real‑time financial workflows, delivering sub‑second latency and collaborative data modeling capabilities.
Built full‑stack solutions for the Bloomberg Terminal including data visualization tools that processed large market datasets and automated CI/CD pipelines to accelerate releases.
Education
Degrees, certifications, and relevant coursework
Duke University
Master of Science, Computer Science and Machine Learning
2015 - 2018
Master of Science in Computer Science and Machine Learning completed from 2015 to 2018, focusing on data visualization and scalable systems for large financial datasets.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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