Dorian G

Generative AI - RAG, RLHF, SFT, etc.

· ML synthetic data QA (Autonomous Vehicles, Drones). · Write test plans that encompass the company's standard ontology, annotations, maps. Schedule and write tests as jsons for targeted issue regression verification. · Meet with TEMs, Field Engineers, Simulation artists and Pipeline engineers to plan efficient delivery deadlines and customer needs.

Autonomous driving unit, Data Annotation Operations.

• Developed and managed over a dozen annotation datasets (computer vision, point cloud and semantic map) for training and testing autonomous vehicles. This included scaling existing datasets by 10X+ (units and annotation personnel). • Worked with engineering to develop efficient labeling tools and data annotation QA tools. Proposed, developed and tested feature updates reducing cost (5-20+% per feature). • Extracted data and presented analysis (SQL, Looker, Jira, Data Studio) to stakeholders, informing better annotation, collection, and dataset use. Tracked labeling cost using Jira. • Trained annotators, created SOP training documents, liaison with 3rd party vendors.

UCLA Department of Geography. Assistant in a multiyear study aiming to digitally map all of the world’s lakes with images taken by the US Geological Survey Satellite, LANDSAT 8.

A primary Research Assistant within the College of Natural Resources (Environmental Science, Policy and Management), assisted in a two year long experiment aimed at determining the resilience of essential flora in California river networks, as well as establishing how Cottonwood Tree management can improve river ecology.