Work Experience

Research Assistant AI/XR - Spatial Interaction & Interaction Design Lab

May 2025 - Current - College Station, TX

  • Developed VR anatomy navigation system in Unity(C#) for Meta Quest 3 with multimodal interaction (Voice + UI)
  • Integrated Azure Speech-to-Text and Hugging Face models to deliver real-time, low-latency transcription in VR.
  • Leveraged LLM APIs (Claude, Gemini) for semantic interpretation of anatomy-specific commands, improving accuracy with medical terminology
  • Built a semantic parsing pipeline to extract actions (zoom/rotate/highlight) and anatomical targets, benchmarking sentence similarity models against LLM-based approaches.
  • Engineered a modular logging framework to capture end-to-end latency and user study metrics.
  • Designed logs to enable AI vs. Human-Assisted performance comparisons, supporting user study metrics.

Technical Product Manager - Develop for Good (AllGrow)

Oct 2024 - Feb 2025 - Remote

  • Led 8 developers; shipped a React Native MVP for students & teachers.
  • Ran weekly sprints and integrated stakeholder feedback into the roadmap.
  • Designed a scalable architecture targeting 1M+ users.

Medical Device Product Development Intern - Alcon

May 2024 - Aug 2024 - Lake Forest, CA

  • Developed a full-stack web application using Blazor, C# and .NET to streamline projects for medical devices.
  • Enchanced ORA system software with intuitive C# and WPF interfaces, improving ease of use and accuracy.
  • Applied ORA and AnalyzOR expertise to enhance documentation, development and application.

Undergraduate Research Student - UrbanResilience.AI Lab

May 2023 - May 2024 - College Station, TX

  • Developed a python program to analyze lifestyle recovery impacts after Hurricane flood damage.
  • Processed mobility data with Pandas, Numpy, Stats and GeoPandas to visualize vulnerable regions.

Software Engineer Inter - Uhnder Inc.

May 2022 - Aug 2022 - Austin, TX

  • Built a Python program for BLR data analysis in ADAS Lidar, delivering six features to improve chip reliability
  • Ensured 24x7 reliable operation by implementation features validated on 2+ years of historical data.
  • Achieved 60% faster data analysis by modeling with linear regression per SPEC using Pandas and NumPy.