Damian Carter

Used proprietary software to provide inputs and labels on defined projects, generating high-quality and accurately labeled data to facilitate AI model training. Collaborated closely with technical staff to support the training of new AI tasks, ensuring the successful development and implementation of innovative initiatives and technologies.

Contributed to at least four successful product launches and continued to drive improvements in product performance and user experience. Applied Reinforcement Learning from Human Feedback (RLHF) and other techniques, enhancing model accuracy and reliability; optimized inner monologues, prompt engineering, and quality control of model outputs; automated repetitive tasks to improve team efficiency.

Utilized Reinforcement Learning from Human Feedback (RLHF) techniques, adapting approaches to meet each client’s specifications and improve model alignment with user preferences. Conducted production-level quality assurance, correcting data outputs from other contributors to meet stringent quality standards.

Completed coursework including 400-level Chinese and several 400-level Linguistics courses. Served as a research assistant to two PhD students for two years, running EEG experiments and analyzing and annotating data. Provided IT support for the Engineering Department for one year.

Participated in a one-year exchange program focusing on Computer Science and Information Engineering. Notable courses included Intensive Chinese, Virtual Reality, and Solid State Lighting.