I make things on the internet.

Developed and enhanced Streamcare’s clinician-facing frontend interface using Next.js, improving daily workflows, navigation efficiency, and reducing patient data review time by 45%. Built and optimized reliable backend services in C#, streamlining communication between IoT health devices and the monitoring platform, which reduced latency of complication alerts by 30% and improved overall system responsiveness. Integrated secure and scalable Cosmos DB and MongoDB database solutions for structured patient data storage, ensuring reliable real-time access, seamless retrieval, and full compliance with strict PHIPA/HIPAA healthcare regulations.

Built a scalable inventory management system using MongoDB, with automated part stock tracking, metadata tagging, and low-stock alerts, resulting in a 40% reduction in material-related delays. Integrated AWS S3 into the inventory system to enable secure image uploads, scalable storage, and on-demand retrieval of trailer part visuals, improving identification accuracy, and reducing lookup time by 60%. Engineered a facial recognition-based clock-in/out system with identity validation, timestamp logging, and implemented a custom payroll processing platform, saving the company $8,000 monthly in software fees.

Developed efficient C++ algorithms for IoT microcontrollers to collect and transmit soil data via libcurl and RESTful APIs, improving data accuracy in AWS RDS by 35% and reducing transmission latency by 40%. Built interactive Python dashboards with Pandas, NumPy, Matplotlib, and Seaborn to analyze sensor data, cutting manual reporting time by 85% and enabling real-time insights for decision-making. Automated sensor data ingestion pipeline using Python and AWS Lambda, reducing manual intervention by 90% and enabling real-time soil data synchronization across microcontroller devices and the cloud.