Work Experiences

Experience building end-to-end systems across engineering, product, and research.

Walmart Global Tech

Software Engineering Intern (AI / RAG)

Summer 2025
  • Built a Retrieval-Augmented Generation (RAG) chatbot to help internal teams quickly find answers across distributed enterprise documentation.
  • Designed and implemented the full retrieval pipeline, including chunking, embeddings, indexing, indexing, and ranking, improving response relevance and answer quality.
  • Collaborated with engineers to integrate the system into internal workflows and validate performance with real use cases.
PythonLangChainAzure OpenAIRAGSQLC++

ProcureSpark

Product, Design, and Engineering Intern

Spring 2025
  • Worked on a contractor-facing CRM platform, translating workflow and user needs into concrete backend and UI improvements.
  • Built and optimized backend data workflows using Python, SQL, and Supabase to support scalable, real-time use.
  • Developed React front-end components to improve usability, clarity, and data flow across the product.
  • Refactored schemas and queries to improve maintainability and make the system easier to extend.
ProductDesignPythonSQLSupabaseReactC++

Social & Technological Action Research Group (STAR Lab), UC Irvine

Research Engineering Assistant

September 2024 – Present
  • Built and iterated on research prototypes for neurodivergent children, incorporating direct user feedback into design decisions.
  • Supported studies using eye-tracking and sensory data tto inform interface design and adaptive behaviors.
  • Planned and ran usability testing and prototyping, leading to measurable improvements in engagement.
  • Contributed to peer-reviewed publications and conference presentations in HCI and inclusive technology.
HCIResearchEye TrackingSensor DataPrototypingUsability TestingInclusive TechAILearn more here

University of Wyoming College of Engineering

Machine Learning Engineering Intern

Summer 2024
  • Built ML-driven tools for educators, including dashboards and early risk signals to support student engagement.
  • Trained and evaluated models using Python and TensorFlow, iterating on features and performance.
  • Worked with data pipelines and analysis workflows to support deployment and experimentation.
PythonTensorFlowMachine LearningJupyterSQLC++