Bio Conscious Technologies Inc.
At Bio Conscious Technologies Inc., a health tech startup, I worked as a Full-Stack Software Developer, focusing on AI-powered patient monitoring solutions. My role involved backend optimizations, API integrations, and compliance with HIPAA regulations to support healthcare professionals in providing better digital health services.
π©Ί AI & Healthcare System Development
- Worked on AI-driven patient monitoring solutions, optimizing data pipelines to track and predict health trends.
- Developed a Golang-based backend that handled real-time patient data processing, ensuring smooth data synchronization between healthcare providers and digital records.
π» Full-Stack Engineering & System Architecture
- Refactored the Golang backend and redesigned PDF parsing logic, improving PDF generation efficiency and reducing data processing times by 27%.
- Built and optimized database queries for secure and scalable patient record storage.
- Integrated AthenaHealth API into the Next.js frontend, enabling doctors to remotely prescribe medication, ensuring full HIPAA compliance.
- Developed authentication and access control mechanisms, securing sensitive patient information while allowing role-based access.
βοΈ API & Third-Party Integrations
- Implemented robust API integrations with electronic health record (EHR) systems, ensuring seamless communication between healthcare platforms.
- Designed a RESTful API architecture that adhered to healthcare industry best practices.
- Enhanced system reliability with automated testing frameworks, using Testify, Jest, and Vitest for backend and frontend testing.
π Data Security & Compliance (HIPAA Standards)
- Ensured all development met HIPAA security standards, implementing data encryption and secure authentication.
- Conducted security assessments and compliance audits, ensuring patient data was fully protected.
- Designed system logs and monitoring tools to track API usage and access patterns for security auditing.
π Optimization & Performance Improvements
- Reduced latency in patient record retrieval by optimizing database indexing and query execution.
- Improved API response times, ensuring real-time updates for medical professionals.
- Automated system testing and deployment pipelines, enhancing code quality and stability.