Time-series OLAP with TimescaleDB. Orchestration stack with Dagster and DBT to managed SQL, Polars and Spark pipelines.Modelling IoT metadata.

Designed and developed infrastructure for IoT fleets, combining both modern LoRaWAN stack and custom low-power Edge computing using AWS Greengrass for bespoke integration on multiple industry protocols. Collect telemetry using high-throughput data ingress pipelines with AWS IoT and AWS Lambda to capture, enrich and store into our data warehouse.

Developed backend services with NestJS and PostgreSQL.Maintain CICD pipeline and monitoring stack with Grafana for EC2 uptime. Built internal custom tool for monitoring with Golang.

Monash Microgrid Initiative, part of Net Zero Initiative.Designed and developed forecasting models on Monash’s weather, buildings energy usage and solar panels energy production data using Python and Sci-kit. Achieved 0.80 MASE.Use mixed integer linear programming with forecasted data to create optimise activity schedule with the goal of minimizing energy usage using Google’s or-tools.Worked as a team of 4, under the supevisor of Dr. Christoph Bergmeir.Project is open source under MIT license: https://github.com/hbhungg/tinygrid

Front of house.