
Deploying optimized LLMs for real-world use cases
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UC Santa Cruz
Master of Science (MS), Information Technology
N/A – Present
Beijing Language and Culture University
Bachelor of Engineering (BEng), Computer Science
N/A – Present
Beijing language and culture
Certification, Japanese Studies
N/A – Present
PNC
Sr. Security Architect
October 1, 2024 – Present
Remote
MetricStream
Sr. Machine Learning Engineer
September 1, 2021 – June 1, 2023
San Jose, California, United States · On-site
MetricStream
Software Engineer (Machine learning)
March 1, 2015 – November 1, 2018
Palo Alto, CA · On-site
IRKM lab at UCSC
Research Assistant
March 1, 2014 – December 1, 2014
Santa Cruz, California
China Radio International
Product Development Manager
March 1, 2013 – September 1, 2013
Beijing, China · On-site
Changyou.com (China)
Product Development Specialist/ Project Specialist
April 1, 2008 – January 1, 2012
Beijing, China · On-site
AI Text Detection
January 1, 2024 – February 1, 2024
- Developed a fine-tuned BERT model for binary classification to detect whether text generated by AI LLMs or by real students, achieving 78% AUC on validation - Built an augmented dataset featuring diversity, including positive examples as student essays and negative examples efficiently generated by open source LLM from Hugging Face. - Developed solutions for efficient AI texts generation, which includes the use of quantized LLAMA2 via vLLM, and multi-threaded inference to max out GPU’s capacity. - Demonstrated expertise in fine-tuning large language models and advanced techniques for text generation and model optimization
Building Systems with the ChatGPT API
DeepLearning.AI
June 24, 2026 – Present
DeepLearning.AI TensorFlow Developer
Coursera
June 24, 2026 – Present
LangChain for LLM Application Development
DeepLearning.AI
June 24, 2026 – Present
Github copilot
Microsoft
June 24, 2026 – Present
ChatGPT Prompt Engineering for Developers
DeepLearning.AI
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI text detection to recommendation systems and fraud detection, aligns well with a dynamic AI engineering environment. Their experience in both individual contribution and leading initiatives, coupled with a strong educational background and continuous learning through certifications, suggests a good cultural fit for an innovative and growth-oriented team. The transition from Product Development to Machine Learning and AI roles demonstrates adaptability and a strong drive for technical specialization.
Soft Skills & Operational Fit
The candidate's experience in leading AI adoption, cross-functional training, and user support indicates strong communication and leadership skills. Their ability to accelerate legacy data migration and optimize model performance suggests a results-oriented and problem-solving approach. The diverse project experience also points to adaptability and a collaborative mindset.