Hi, I'm Lareine. I'm a key software engineer at Google on a high-profile confidential project with direct impact on multiple company and Product Area goals. I'm a technical expert in developing post-training strategies for detection and prevention of potential harm the systems underpinning ML, finance, and quantitative algorithms developing evaluation metrics evaluating language models and working across their preparation stacks partnering with research partners to iterate within new areas of research improving existing data solutions based on my findings, automating them, and tracking their deployment across teams measuring and advancing research in adversarial robustness Previously, I was a research engineer at the AI Foundation on Team Cognitive Research. I conducted research and developed algorithms in artificial intelligence, computer vision, natural language processing, and speech synthesis. I trained convolutional neural network models for emotional recognition. I explored the augmentation of a model of arousal / heart rate with an example implementation of Eulerian motion magnification. Eulerian Video Magnification is an algorithm that pulls out subtle changes including changes in skin tone and recurring movements with distinct frequencies from videos that are invisible to the naked human eye. I developed and tested AI models and generative adversarial networks. At age 17, I co-authored a neuroscience publication with 100+ citations. I interned at Derecktor Shipyards my freshman year. I received a grant from the Recurse Center to independently implement and evaluate ideas efficiently on a modern deep learning stack - Python, PyTorch, and GPU-enabled compute. At age 18, I was promoted to Crew Leader at a federal bureau, where I trained and supervised 28 full-time employees. North Macedonia's International Olympiad in Informatics team '20 won three bronze medals under my coaching. I hold a Bachelor of Science in Engineering from the Cooper Union with a minor in Computer Science.