Applied prompt engineering and fine-tuning techniques to optimize LLM performance for multimodal AI systems in wearable devices.

Developed benchmarking pipelines to evaluate reliability, accuracy, and efficiency of GenAI models at scale

Assisted in monthly reporting and variance analysis for multi-modal models research initiatives and results.

Onboarding/Training Data Collection Associates (DCA's) and RA's.

Manage the data life cycle: present collection efforts/findings to senior managers and SWE leads.

Using Testing tools/environments

Built automated data workflows in Excel and Python to support large-scale AI model evaluation, reducing manual errors and improving efficiency.

Work in an interdisciplinary team solving novel problems in the XR space.

Working in cutting-edge experimental methods and devices in augmented reality research.

Conduct literature reviews and assist with research documentation.

Provide feedback and support during experimental design.

Developed and optimized data validation pipelines ensuring AI model inputs were accurate and reproducible, improving downstream model performance.

Managed end-to-end research protocols, from participant recruitment to advanced data analysis and visualization.

Delivered statistical reports and dashboards to align cross-functional stakeholders on study outcomes.

Supported peer-reviewed publications with manuscript preparation and literature synthesis.

• Support medical providers and nurses with patient education and skill coaching

• Equipped with de-escalation and physical management skills to ensure patient safety

• Provide hands on support with daily activities for patients with disabilities

• Implement modified positive behavior interventions and supports (M-PBIS) model on the unit

Assist PI with implementation of experiments involving human subjects by setting up EEG and research facility and run several cognitive test. Conduct the study - recruiting, screening, obtaining consent, instructing participants, running test, uploading data and cleaning up. In charge of processing raw EEG data, cleaning up EEG data , in person-data entry responsibilities. Discuss and summarize literature reviews. Assist writing research papers with Ph.D mentors.