Experience built across disciplines.

Structured model evaluation work focused on frontier-LLM quality, failure modes, and alignment data.

• Conduct blind evaluations of frontier LLMs on multi-step tasks across reasoning, instruction-following, factuality, and robustness
• Run head-to-head model comparisons with structured rubrics and document qualitative failure patterns
• Produce evaluation trajectories that support preference-tuning and RLHF / DPO-style alignment datasets

Production AI and data systems for live-service analytics at scale.

• Built a PB-scale anomaly-detection pipeline on Databricks and Azure monitoring 50+ live-service KPIs
• Combined RAG, Deep Research, LangGraph, and a Slack-based MCP agent to reduce analyst response latency by 40%+
• Productionized daily reporting with Airflow and GitHub Actions; the work was the only intern project selected for the 2025 Microsoft Xbox Game Studios Data & Applied Science Summit

Live strategy-game systems, team leadership, and data-informed iteration.

• Designed level gameplay for 'Last War' generating $20M+ monthly revenue
• Developed features that increased engagement by 67% and participation by 157% versus concurrent features
• Led monitoring across tens of thousands of players using SQL and Python
• Created data-analysis reports adopted as repeatable team templates

Graduate study spanning AI, systems, graphics, and game development.

• Machine Learning, Natural Language Processing, and Artificial Intelligence
• Graduate Operating Systems and GPU Hardware & Software (CUDA)
• Machine Learning for Trading, Game Design & Development, and Agentic AI

Computer-vision research for accurate, mobile-ready object detection.

• Trained and evaluated YOLOv11 on a 200,000-image, 80-class dataset for mobile edge inference
• Reached roughly 10 ms phone-class inference latency and improved precision by 1.84% over the baseline
• Published the resulting YOLO-KAN work as first author at IEEE CAI 2025

Computer science foundations and applied software engineering across data, cloud, algorithms, and graphics.

• Data Visualization & GenAI, Cloud Computing, and Scalable Distributed Systems
• Algorithms, Computer Graphics, Machine Learning, and research capstone