Chandra Lindy is a former licensed nurse turned DevOps-focused software engineer who blends 15+ years of patient-care experience with a recent Computer Science degree and a practical appetite for AI and web systems. She has shipped a production RAG web app—React/Vite front end, FastAPI backend, LangChain/ChromaDB retrieval, and AWS-hosted deployment with Cognito authentication and CI/CD pipelines—demonstrating end-to-end product delivery. Her portfolio includes ML research classifying English accents with high accuracy and a cost-saving healthcare automation app that reduced manual billing work significantly. Currently gaining hands-on DevOps skills at KubeCraft, she focuses on Linux, Kubernetes, Terraform, and observability while preparing interview-ready projects under senior mentorship. Chandra balances weekend clinical work as a wound care specialist with weekday engineering, giving her a rare perspective on building user-centered health tech. She is selectively open to mission-driven collaborations and aims to launch solo SaaS products informed by real-world clinical workflows.
10 years of coding experience
14 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at California State University, Fullerton
Contributions:39 commits, 1 push, 1 branch in 1 month
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