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Yang Qi
Mid-level Full-Stack Software Engineer specializing in AI platforms and data visualization
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About
Full-stack engineer with healthcare/bioinformatics experience who built a real-time genomic data analysis and 2D visualization feature (React/TypeScript + D3, FastAPI) at University of Utah Health, deploying on AWS ECS Fargate with monitoring and measuring engagement via Google Analytics. Also built AWS Lambda-based ETL pipelines for lab data ingestion using pandas/NumPy with reliability patterns (idempotency, retries, CloudWatch alerting) and drove maintainability improvements through shared component libraries and React hooks.
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Key Strengths
- End-to-end ownership of production features (frontend, backend, deployment, monitoring)
- Built real-time genomic data visualization (2D charts) for rare disease diagnosis
- Full-stack delivery with React/TypeScript + FastAPI and AWS ECS Fargate serverless deployment
- Measured post-release impact using Google Analytics (increased user engagement)
- High-ownership technical decision-making under ambiguity (rebuilding Vue components in React for maintainability)
- Improved maintainability by creating shared component library, custom hooks, and service layers
- Designed reliable ETL/ingestion pipeline on AWS (Lambda + S3) with idempotency, retries, and CloudWatch alerting
- Operational troubleshooting via centralized logging in CloudWatch from EC2 instances
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1 publication
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