About Me

August 2024 - Present

Graduate Researcher & AI Lab Instructor

The University of Texas at Austin

• Led AI lab sessions on Hugging Face Transformers, LLM fine-tuning, computer vision, and explainable AI
• Mentored student teams on EHR analysis, medical NLP, and healthcare AI projects
• Developed coursework and materials for SQL, GenAI, and model evaluation
• Conducted research on GNN-based clinical prediction, multimodal AI, and RAG systems
• Built and evaluated LLM-based tools for QA automation and tutoring assessment

April 2022 - June 2024

Data Part Leader

Circle Platform

• Developed 100+ APIs accelerating data collection speed by 3× (10 min → 3 min)
• Built AWS-based data pipelines and improved MariaDB event log performance by 50%
• Designed demand forecasting models with Scikit-learn, driving user base growth from 1,100 to 2,300
• Evaluated and improved AI image editing features: object removal, super-resolution, diffusion styling
• Implemented pseudonymization techniques using Hadoop MapReduce for large-scale data
• Conducted consumer behavior sequence analysis and optimized search/pattern algorithms

August 2018 - October 2021

Battery Materials Domain Expert  · Quality Engineer

Umicore

• Analyzed quality issues in high-nickel cathode materials: structural instability, oxygen loss, microcracks
• Characterized moisture effects, residual lithium imbalance, and Li₂CO₃/LiOH-related defects using XRD and coin cell tests
• Participated in tungsten additive development for high-nickel cathode optimization
• Analyzed lab-to-pilot scale-up gaps and process condition optimization
• Authored 200+ quality reports including 8D analysis; led Japan customer audits
• Applied Six Sigma for defect rate management and process control