Kaggle Competition: Christmas Tree Packing Challenge
Creating Optimal Solution for Irregular Shaped Packing Problem
Read moreData and AI Engineer turning information and metrics into actionable analytics, with machine learning, especially in data analytics and game development.

Worked with Kearney during Columbia University Operations Consulting course. Built AI simulation models and a Generative AI platform integrating RAG and behavioral clustering to enhance product-launch decision-making.

Developed and optimized generative voice and dialogue models for Honor of Kings using GPT-4 pipelines, model compression, and distributed PyTorch.

Started as a student researcher contributing to projects related to NLP. Worked on Legal related Large Language Models (LLMs), focusing on instruction generation, model fine-tuning, and evaluation frameworks to enhance legal reasoning capabilities.

Worked on Projects within consulting class, learning optimization, simulation, probabilistic models, and machine learning techniques applied to real-world business problems.

Part of Soccer Team, Tennis Team, Part of Students Coding Association, worked on projects to help build websites for school use. Got scholarship for 2 years for academic performance.
Creating Optimal Solution for Irregular Shaped Packing Problem
Read moreAnalyzing metrics within the NFL while the ball is in the air.
Read moreBuilt a Bedrock-powered RAG system that simulates real consumer behavior for AWS Bedrock x Columbia Engineering Hackathon.
Read moreBachelor thesis developing scalable instruction-generation and fine-tuning frameworks to improve legal reasoning capabilities of LLMs.
Read moreAI system helping improve patent office action submission and prior-art matching using domain-specific retrieval models.
Read moreEnd-to-end analytics pipeline identifying performance drivers in large-scale marketing campaigns.
Read moreAlways interested in new opportunities, collaborations, and new discussion