MALEK ABUALYA

I'm building software systems that make real-time data more accessible and actionable. At the U.S. Geological Survey, I modernized the Rainier Lahar Detection System by replacing legacy tripwire alerts with sensor-based detection for faster hazard identification.

I engineered FastAPI services to ingest, process, and query real-time sensor data, and automated alert workflows and notification channels for partner agencies. I also developed visualization and diagnostic endpoints using Pandas and Matplotlib to support monitoring, anomaly detection, and operational reporting.

For HP's PrintOS Digital Worker Orchestration Platform, I architected a cloud platform that coordinates distributed workers for file processing, validation, and format conversion. I built Spring Boot services on AWS EC2 for scheduling, execution tracking, and worker coordination, integrating Lambda, S3, RDS, Amplify, and CloudFront.

I've also built full-stack applications including TeaTalks, a React and Flask social platform, and ThoughtStream, a journaling application with weather and geolocation integrations.