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Tao Chen
Senior Full-Stack Engineer specializing in AI-powered web products
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About
Backend/data engineer who has built production AI video generation services on AWS using a hybrid serverless + container architecture (FastAPI, Lambda, ECS, Postgres/Redis) with strong reliability practices (auth, retries/timeouts, structured logging, CloudWatch + Slack alerting). Also delivered AWS Glue ETL pipelines with schema evolution handling and modernized a legacy SAS healthcare reporting workflow to Python with parity validation and parallel-run migration.
Experience
Education
Key Strengths
- Designed and delivered event-driven AI video generation backend on AWS (Lambda + ECS) using FastAPI/Node.js
- Production reliability engineering: JWT/API Gateway auth, timeouts, exponential-backoff retries, structured logging, CloudWatch monitoring and Slack alerting
- Infrastructure-as-code and automated deployments (Terraform + GitHub Actions) for Lambda and container services
- ETL/data pipeline ownership with AWS Glue including schema evolution resilience and data quality validation
- Legacy SAS workflow modernization to Python with parity testing on historical data and parallel run cutover
- SQL performance optimization (reduced reporting query runtime from >60s to <10s via indexing and batching)
- Incident response for batch/data pipeline failures: rapid triage via CloudWatch, mitigation via reruns, and prevention via improved monitoring and input validation
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