• Architected, designed, coded, and deployed backend Python microservice systems to the cloud for internal ML model servicing, database storage, data pipelining, and external API integration. Technologies: Flask, Helm, Kubernetes, Google Cloud, MongoDB, Redis, BigQuery, Scikit Learn, RabbitMQ• Designed and developed a backend microservice to extract and load pipelined data flowing through RabbitMQ into BigQuery for downstream processing.• Implemented SQL queries to transform data stored in the BigQuery data lake and built out Looker Studio dashboards to help facilitate data-driven business decision making processes.• Upgraded legacy code in older microservices to improve error catching, logging, and handling. Ensured proper response codes were returned for different error types and that the services would handle different errors appropriately.

Graphics memory systems process corner characterisation and qualification

• In vivo two-photon calcium imaging• Visual behaviour analysis• Visual system circuit modeling

• Learned the necessary neuroscience research methods and tools to allow me to succeed in my MSc research thesis

• Embedded systems programming• Control systems design• Systems level electronics design• Equipment troubleshooting and quality control