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Suma Mallu
Intern Full-Stack Software Engineer specializing in UI/UX and AI-integrated web apps
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About
Built and owned Python backend APIs for real-time educational dashboards at ASU’s Machine Learning lab, improving responsiveness by cutting latency ~35% through caching, batching, and profiling-driven optimizations. Has hands-on experience containerizing Node.js/Python services and running GitOps-style CI/CD with GitHub Actions, plus supporting smaller infrastructure transitions with reproducible, portable configs.
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Key Strengths
- Owned end-to-end Python backend for real-time educational dashboard APIs
- Reduced API latency ~35% via caching, batching, and profiling/loop & I/O optimization
- Strong data shaping/cleaning to make ML outputs UI-consumable
- Implemented GitOps-style workflow with PR-based changes and GitHub Actions CI/CD to staging
- Systematic approach to environment transitions: dependency mapping, staging validation, portable configs, reproducible builds
- Designed stable/predictable API schemas for rapidly changing real-time data
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