Andrew Eom

Collaborated with a team of 7 to develop and deploy a “Smart Light” on AWS intended for horticultural use, reducing energy costs by 40% and increasing plant growth by 30% through adaptive lighting. Developed API endpoints using React, .NET, and C#, secured with AWS Cognito token authentication and designed scalable PostgreSQL schemas handling high traffic with sub-400ms response times. Integrated and deployed a web browser application hosted on AWS with horizontal scalability and mobile support. Performed xUnit tests to validate performance, security, and usability for clients.

Worked with a team of 7 to develop and deploy a “Smart Light” on AWS for horticultural purposes, reducing energy costs by 40% and increasing plant growth by 30% by adjusting light intensity and color spectrum based on growth cycle phases. Developed API endpoints using React, .NET, and C#, secured with AWS Cognito token authentication. Designed scalable PostgreSQL schemas optimized for high traffic with sub-400 ms response times. Integrated and deployed a web browser application with horizontal scalability and mobile support hosted on AWS. Conducted xUnit tests evaluating performance, security, and usability for clients.

Lead developer for a Java-interoperability project introducing a compiler feature enabling clients to interchange data and control between COBOL and Java programs, reducing communication overhead by 30%. Increased compiler's available memory usage by 200% through converting a 32-bit compiler to 64-bit and resolving corrupt memory access issues. Assisted in developing PostgreSQL support within COBOL applications, optimizing SQL statements and increasing test coverage by 35%. Led development of a source conversion utility automating the conversion of user-provided COBOL source files to IBM x86 standard COBOL format, boosting productivity by 65%. Maintained the compiler codebase, increasing client defect resolve rate by 100%. Implemented inter-process named pipe communication within the compiler, reducing resource utilization by 50% and enabling future feature capabilities.