COMP90043 Cryptography and Security

Architected and implemented a near real time traffic analytics platform capable of processing tens of thousands of data points per minute. My work includes designing and developing the end-to-end frontend, backend, and data processing pipeline.Technologies used: Kubernetes, Docker, AWS, Melbourne Research Cloud, InfluxDB time series database, Neo4j graph database, GitLab CI.

Designed and developed Apache Spark extension for JupyterLab to exploit cutting-edge Spark Connect API.

Coordinated technology development, operation, and information security efforts across the organisation.Increased system capacity from 1k to 200k MAU within a week by implementing scalable cloud-based distributed systems.

Developed and deployed ESCAPE Data Lake-as-a-Service: a service with the purpose of abstracting the complexity of the Data Lake from the scientists, to keep them happy and productive :)

I worked with mentors from the European Organization for Nuclear Research (CERN) to develop JupyterLab extension that allows scientists to make data available for analysis easily.