AS A COMPUTER ENGINEER

My experience focuses on using machine learning to understand complex behaviors and build more human centered technologies. I have explored reinforcement learning, generative modeling, and adversarial robustness while learning how to evaluate models beyond accuracy through interpretability, adaptability, and impact. 
   
These experiences have taught me to move from experimentation to insight, bridging technical depth with curiosity about how intelligent systems learn, adapt, and interact with the world.


#MachineLearning #ReinforcementLearning #HumanCenteredAI #ComputerVision #NaturalLanguageProcessing #BehaviorModeling #DeepLearning #AdversarialRobustness 
Projects and Papers
Fine-Tuning MusicGen for Composer Style Transfer (Paper, Poster)
Lightweight Behavior-Aware Attention Gating for Vision Transformer (Paper, Poster)
LLM-Guided Strategy and Opponent Modeling in Multi-Agent Poker (Paper, Poster)
FORGE — AI-Powered Refactoring Extension for VS Code 
Sign Language Gloss Translation with Contrastic Learning

    Work Experience
    2025 Summer + Fall
    Tech Consultant Intern @ Deloitte Digital

    • Worked on projects of MTR x ServiceNow, built backend workflows and REST APIs on ServiceNow for an internal talent management platform 
    • Integrated data pipelines across enterprise tools to streamline HR operations and reporting
    • Debugged, documented, and enhanced system features such as Leave Application and Promo Code Application
    Software Engineer Intern @ Fixedstar Group

    • Extended backend services to track employee resource allocation across departments
    • Developed and optimized ERP finance and contract management modules in Java and SQL