Cloud Cost Monitor
An automated AWS watchdog that monitors cloud resource usage and spending, and fires alerts when anomalies or budget thresholds are detected.
Computer Science student specializing in cloud computing, data analytics, and cybersecurity.
Built and executed database migration pipelines from Microsoft Access to SQL, improving data integrity and query performance across operations. Developed ETL workflows connecting SAP production data to Power BI reporting dashboards. Automated KPI reporting pipelines to reduce manual effort and improve data refresh cycles.
Supported the development and deployment of cloud-based communication tools and AI applications across enterprise environments. Assisted with platform integrations involving Microsoft Teams, Zoom, and Amazon Connect, and contributed to conversational AI solutions including chatbots and virtual agents. Participated in end-to-end research, documentation, and solution testing within the Cloud and AI innovation team.
Engineered automated Python + SQL data pipelines to collect, clean, validate 10K+ production records. Applied statistical & regression modelling to identify production inefficiencies, improving yield by 22%.
Developed and launched a Flutter-based mobile platform with Firebase integration. Optimized code architecture decreasing average load times 35% while supporting 5K+ active users.
An automated AWS watchdog that monitors cloud resource usage and spending, and fires alerts when anomalies or budget thresholds are detected.
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Always interested in new opportunities, collaborations, and conversations about technology and design.