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Tianyi Wang
Entry-Level Backend/Cloud Engineer specializing in distributed systems and AI platforms
AmazonUniversity of MichiganSeattle, WA1 Years ExperienceEntry LevelWorks On-Site
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About
Full-stack engineer with deep serverless AWS experience who built VidToNote, an AI video analysis platform, end-to-end using Next.js App Router/TypeScript and an event-driven pipeline (API Gateway, Lambda, DynamoDB, S3, Step Functions, SQS). Strong on production reliability and observability (CloudWatch, X-Ray, structured logging), plus data/analytics work in Postgres with measurable query optimizations and durable LLM evaluation workflows. Amazon background; integrated 22 AWS services and completed AWS Solutions Architect Professional certification within a month.
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Built real-time feed UX (likes/comments) with infinite scroll and validated behavior with DevTools/network analysis and Cypress
Postgres analytics modeling with traceability (FKs) and index-driven aggregations; reduced query runtime from seconds to sub-seconds using EXPLAIN ANALYZE
Durable batch inference workflows with checkpointing and idempotent writes to safely resume after failures
High ownership in fast-paced environment; integrated 22 AWS services and earned Solutions Architect Professional certification in one month
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Experience
Cloud Engineer InternAmazon · May 2025 – Aug 2025internship
Research Assistant (UROP)University of Michigan - Ann Arbor · Aug 2024 – May 2025part-time
Education
University of Michiganbachelor, Computer Science (2026)