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1 | 1 | export const PROJECTS = [ |
2 | 2 | { |
3 | 3 | title: 'DICOM Converter + OHIF Viewer', |
4 | | - desc: 'FastAPI backend with DICOMWeb (QIDO/WADO-RS) and React UI. Thumbnails, metadata, and Docker deploy.', |
5 | | - impact: 'Improved first render ~35%; added audit logging.', |
6 | | - tags: ['Python-FastAPI','pydicom','React','Docker','PostgreSQL'], |
7 | | - link: 'https://github.com/laithse1/dicom-converter' |
| 4 | + desc: 'A full-stack healthcare imaging platform that ingests DICOM datasets from MIME bundles, validates and anonymizes them, logs pre/post headers for audit, and exposes DICOMweb endpoints for OHIF. Built with Python/FastAPI, PostgreSQL (relational + JSONB), and Next.js + Chakra UI, fully containerized with Docker for reproducible dev, test, and prod deployments.', |
| 5 | + impact: 'Demonstrated end-to-end engineering of a production-grade medical imaging pipeline — including DICOMweb compliance, OHIF integration, audit-ready anonymization, and DevOps best practices. Delivered a scalable, secure, and portable solution that bridges backend services, database design, and modern UI, highlighting expertise in cloud-native architectures, healthcare interoperability, and full-stack development.', |
| 6 | + tags: ['Python-FastAPI','pydicom','React/Next.js','Docker','PostgreSQL'], |
| 7 | + link: 'https://github.com/laithse1/DICOM-converter-API' |
8 | 8 | }, |
9 | 9 | { |
10 | | - title: 'InfinityView Platform (Mayo Clinic)', |
11 | | - desc: 'Java Spring Boot imaging services, secure logging, multi-site deployments.', |
12 | | - impact: 'Reduced incidents ~20%; standardized observability.', |
13 | | - tags: ['Spring Boot','SQL Server','OAuth2/JWT','Splunk','AppDynamics','CI/CD'], |
| 10 | + title: 'The Pokemon Tournament App', |
| 11 | + desc: "The Pokemon Tournament App is a Java Spring Boot application designed to simulate Pokemon tournaments with customizable configurations. It includes both frontend and backend components, with a PostgreSQL database for data persistence. This project is containerized using Docker, allowing easy setup and execution.", |
| 12 | + impact: "Demonstrated full-stack engineering by integrating Spring Boot, React, and PostgreSQL; applied software engineering best practices in containerization, configuration management, and simulation design.", |
| 13 | + tags: ['Spring Boot','SQL Server','OAuth2/JWT','Docker','PostgreSQL','React'], |
14 | 14 | link: 'https://github.com/laithse1/infinityview' |
15 | 15 | }, |
16 | 16 | { |
17 | 17 | title: 'Peritoneal Dialysis Management', |
18 | | - desc: 'Full-stack app with risk flags, provider dashboard, and analytics.', |
19 | | - impact: 'Improved adherence insights for high-risk patients.', |
20 | | - tags: ['FastAPI','React','Postgres','Docker','Auth'], |
21 | | - link: 'https://github.com/laithse1/pd-app' |
| 18 | + desc: "Full-stack healthcare app enabling patients to log dialysis metrics, track trends with analytics, and alert providers through a secure dashboard with risk flags and notifications.", |
| 19 | + impact: "Delivered actionable insights for high-risk patients, improving adherence tracking and enabling providers to make timely, data-driven treatment decisions.", |
| 20 | + tags:['FastAPI','React/Next.js','Postgres','Docker','OAuth2/JWT Auth'], |
| 21 | + link: 'https://github.com/laithse1/PeritonealDialysisApplication' |
22 | 22 | } |
23 | 23 | ] as const; |
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