Mid-level Full-Stack Software Engineer specializing in AI platforms and data visualization
Cambridge, MAFull Stack Software Engineer3 years experienceMid-LevelArtificial IntelligenceSaaSWeb Development
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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.
Experience
Full Stack Software EngineerMorphMind AI
Full Stack Software EngineerShinga Creative
Software DeveloperUniversity of Utah Health
Software Engineer InternEnveda Biosciences
Open Source Main ContributoraiXiv
Education
University of Utahmaster, Computer Software Engineering (2023)
University of Electronic Science and Technology of Chinabachelor, Mechatronic Engineering
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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