🚀 Single-handedly built HCC Platform and RADV Platform from ground up, developing frontend, backend, and DevOps infrastructure for two critical healthcare risk adjustment solutions. Migrated HCC Platform frontend from Next.js to React with Vite, reducing build time by 60% and enabling faster hot module replacement, significantly improving development workflow efficiency.

🚀 Developed comprehensive patient management system for HCC Platform with patient-specific charts view, filtering, pagination, and advanced annotation system with evidence linking enabling healthcare professionals to efficiently manage and analyze patient data, improving coding accuracy by 35% and reducing data processing time.

🚀 Built robust task management system for RADV Platform with search, filtering by status, tabs, pagination, and resizable panels enabling efficient task organization and workflow management for audit defense, increasing task processing efficiency by 40% and streamlining audit preparation workflows.

🚀 Implemented advanced project management module with export functionality, time tracking, comprehensive data validation, and logs module ensuring data integrity and providing detailed audit trails. This reduced audit preparation time by 50% and improved compliance tracking accuracy.

🚀 Created sophisticated PDF handling system with PDF page navigation, evidence linking, and PDF caching functionality significantly improving document viewing performance, reducing load time by 70% and enhancing user experience for clinical note review and validation.

🚀 Integrated Keycloak authentication with custom login themes and role-based user management ensuring secure access control across both platforms. Implemented WebP image support with PNG fallback, reducing authentication page load time by 45% and optimizing assets for better performance.

🚀 Developed ML backend integration for automated chart analysis and ICD code search functionality connecting frontend with machine learning services, improving coding accuracy by 25% and automating RAF scoring, significantly reducing manual coding efforts.

🚀 Built a clinical PHI de-identification API integrating John Snow Labs SparkNLP clinical NLP models across text, PDF, DICOM, SVS & AWS HealthImaging enabling automated removal of protected health information from multi-format patient documents at scale.

🚀 Translated data scientist Python notebook research into production API logic with per-entity mask/obfuscate policies, LRU pipeline caching and Elasticsearch audit versioning bridging the gap between ML research and production-ready backend services using FastAPI and PySpark.

🚀 Designed and implemented responsive dashboards with modern UI components, redesigned annotation pages, and enhanced task management interfaces improving user experience and productivity, increasing user engagement by 55% for healthcare providers working on risk adjustment.

🚀 Continuously collaborating with the Founder to improve platform features, exploring potential business approaches, and providing technical insights for strategic decisions. Actively participating in product roadmap planning, contributing to platform growth and market positioning while maintaining code quality and scalability standards.

🚀 Developed a UI Library of pixel-perfect, well-tested, reusable, and functional web components which reduced bugs by 20% and improved performance by 30% in the app.

🚀 Migrated two critical entities from RestAPI to GraphQL, improving data fetching efficiency by 35% by reducing over-fetching and under-fetching, enhancing API performance, and simplifying the front-end data query structure.

🚀 Mentoring junior developers, providing guidance on resolving technical debt thus improving the overall team productivity and ensuring code quality by reviewing pull requests (PRs), helping them adhere to best practices and coding standards.

🚀 Collaborating closely with Product Managers, UI designers, and the CEO to improve the app's user experience, ensuring alignment between business goals and user needs, resulting in more intuitive and engaging interfaces.

🚀 Managed, designed, and executed front-end development projects for multiple clients generating substantial revenue, which included designing highly responsive user interfaces for digital platforms and customer websites, bug fixes, and adding new features to existing multiple projects.

🚀 Changed page rendering technique which reduced the built time from 45 minutes to 2 minutes and scaled the project in a way that would serve up to 500k pages with blazing-fast render time.

🚀 Solved a next.js specific problem which allowed us to use SSR/SSG/ISR/On-DemandISR interchangeably on specific pages thus we can maintain, modify, refactor, and scale all of our client projects through multitenant e-commerce app in one single codebase.

🚀 Implemented all the features by myself, which reduced the number of npm packages from 35 to 10 which improved initial load time by 40%.

🚀 Implemented new and complex features to improve the frontend project's functionality across browsers and mobile devices, which eliminated recurring bugs and improved and enhanced customer experience by 30%.

🚀 Refactored the workspace (one of the app's major features) component achieving 3x faster speed in user operations, which resulted in a better user experience and reduced the chances of the browser being frozen during cell analysis.

🚀 Reorganized the previously implemented React Components resulting in the reduction of the number of rerenders by the utmost 7x times which took away the lagging after any user interaction.

🚀 Redesigned the frontend architecture and data model which decreased time complexity from O(n^3) to O(1) of some of the features enabling better speed and performance of the app.

🚀 Changed the UI design from open vertical boxes to a table with collapsable rows and thus we were able to display up to 50 FCS files from 5 FCS files in a single screen frame resulting in a better user experience.

🚀 Wrote Unit tests for the analysis feature and achieved 60% of test coverage strengthening the base of our codebase resulting in fewer bugs and no dead screens in the production environment.

🚀 Developed the feature of multiple video uploading from the web and hosted them on AWS S3, with the help of the Lamda function.

🚀 Built the entire chat module including Video-Audio Calls, Screenshare, Active now, Last Seen, P2P chats, Text Seen and all the advanced features of a messenger.

🚀 Built the official website of MzTech Corp.