Tianyi Wang

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.

Experience

Education

Key Strengths

• Shipped end-to-end serverless AI video analysis product (Next.js + AWS) with secure server-first rendering
• Designed scalable event-driven backend with API Gateway, Lambda, DynamoDB, S3, Step Functions; added SQS decoupling post-launch
• Production reliability improvements: cold-start mitigation, IAM edge-case fixes, retries/state tracking, X-Ray tracing
• Strong observability practices: structured logging and CloudWatch metrics to trace failures across pipeline stages
• Debugged complex Step Functions workflows via centralized error-handling Lambda
• Frontend performance/UX focus: server-first rendering, streaming/Suspense, localized state, measured memoization
• 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