• Lead product design 0→1, bridged product requirements with ML system design, iterating based on real user behavior.

• Architect an agentic system, including tool orchestration, memory management, and multi-step reasoning pipelines.

• Build core ML systems integrating LLMs with retrieval, evaluation loops, and structured outputs.

• 2024 Spring, for 5004 Object-Oriented Design.

• 2025 Spring, for 5800 Algorithm.

• 2025 Fall, for 5800 Algorithm.

• Engineered a deep learning prediction system using PyTorch, achieving a 30% accuracy improvement.

• Implemented a microservices architecture with Docker for scalable model deployment and real-time predictions.

• Developed RESTful APIs with Flask for seamless model inference and integrated service interactions.

Research Assistant in business school

• Developed a high-performance NLP pipeline for analyzing online reviews, utilizing advanced transformer models for topic classification and sentiment analysis.

• Designed and implemented an ETL workflow using Airflow and AWS S3, efficiently processing over 1GB of streaming data.

• Demonstrated expertise in AI/ML libraries, enhancing text understanding and scalability of data processing solutions.