Education
- M.S. in Analytics, University of Southern California, 2026
- Department of Industrial and Systems Engineering, Viterbi School of Engineering
- B.S. in Mathematics with Specialization in Statistics and Data Science, University of Macau, 2024
- Department of Mathematics, Faculty of Science and Technology
Experience
- Project Engineer, Ecotron
- May 2026 - present, Torrance, CA
- Managed client communication, commercial negotiations, and cross-functional project coordination across 20+ customers
- Led $1M+ in customer orders through supply chain management, technical support, and global business development
- Analyzed sales, market, and operational data to support product strategy with the CEO, generating a 15% increase in revenue
- IT Engineer, GOFO
- March 2026 - May 2026, Chino, CA
- Maintained internal logistics systems and collaborated with business teams to troubleshoot issues and optimize workflows
- Built a warehouse relocation tracking system for real-time shipment monitor and process control, improving efficiency by 30%
- Streamlined logistics operations through workflow analysis and agile development, reducing manual workload by 10%
- AI Engineer Intern, Aurite AI
- Summer 2025, Mountain View, CA (Remote)
- Engineered an automated AI workflow using the Aurite AI Agent Framework to improve efficiency on medical documentation
- Integrated OpenAI LLMs and Google Cloud Speech-to-Text for transcription and structured SOAP note generation
- Built modular, reusable pipeline components for audio conversion, speech recognition, text extraction and HTML rendering
- Data Scientist Intern, Avalon Mfg
- Summer 2025, Compton, CA
- Apply statistical analysis and machine learning to detect anomalies in vibration and sound data, improving precision by 28%
- Build a web app UI dashboard using C# to present insights to engineering teams, reducing unplanned downtime by over 40%
- Develop and maintain structured feature logging with PostgreSQL database, supporting scalable historical analysis
- Grader/Course Producer, University of Southern California
- Spring 2025, Los Angeles, CA
- For ISE530 Optimization Methods for Analytics, by Prof. Niloufar Izadinia
- Grade 60+ assignments per week with attention to accuracy and timely feedback
- Research Assistant, Tsinghua University
- Summer 2023, Beijing, China
- Information Retrieval Lab at Tsinghua University (THUIR)
- Research area: Information Retrieval, Recommendation System, Neural Network, Deep Learning, Large Language Model
- Supervisor: Ma Shaoping, Professor
- Visiting Student, University of California, Berkeley
- Spring 2023, Berkeley, CA
- Program: Berkeley Global Access (BGA)
Research
- Automated ML Pipeline and Predictive Analytics Dashboard
- At the University of Southern California
- Description. Built a ML pipeline on GCP Vertex AI for 30-day hospital readmission prediction with preprocessing and feature engineering; Automated training and inference workflows with CatBoost model and apply SMOTE to enhance model F1 performance; Developed an interactive Tableau dashboard with KPIs, visualizations, and drill-downs, combining with patient-level insights.
- Stock Model Analysis and Investment Strategy Based on Chinese Characteristics Valuation System
- “Greater Bay Area Cup” Financial Mathematical Modeling Competition
- Silver Medal, First Prize (Top 0.17%)
- Description. By implementing machine learning algorithms and classification models, we constructed five key characteristic indicators of the Chinese Characteristics Stock Valuation (CCV) system, quantitatively described and classified the characteristics of CCV stocks, and developed short-term and long-term investment portfolios with considerable returns.
- Double Correction Framework for Denoising Recommendation
- Paper accepted by the ACM SIGKDD Conference 2024 arxiv
- At Tsinghua University
- Description. Existing loss-based approaches to discard noisy labels have two limitations: the loss is unstable due to the random initialization of parameters, and the discard may introduce inconsistencies in the training and testing spaces. A double correction framework for denoising recommendation is proposed to solve the problems.
- The Art of Data Augmentation and Parameter Expansion in Markov Chain Monte Carlo
- Supervisor: Zhi Liu, Professor
- At the University of Macau
- Description. We summarize recent developments in integrating Data Augmentation and Parameter Expansion techniques to enhance MCMC efficiency, and precisely define the Parameter Expansion Data Augmentation (PX-DA) algorithm, which refines the traditional methods and exhibits improved convergence properties, as supported by theoretical analysis and extensive simulations, and contributes to advancing Bayesian methods, providing a more robust framework for handling complex models.
- Matrix Functions with Chebyshev Polynomials
- At the University of California, Berkeley
- Description. Under the guidance of Prof. Michael Lindsey, more general functions of matrices can be constructed as limits of polynomials. By approximating general functions with Chebyshev polynomials, one can derive efficient algorithms for performing mat-vecs easily. Experiments were demonstrated by using Matlab to prove the efficiency of this method.
- The Pac-Man Projects
- At the University of California, Berkeley
- Description. Through specific Python practice on the classic Pac-Man game to learn foundational AI concepts, such as informed state-space search, probabilistic inference, and reinforcement learning. These concepts underly real-world application areas such as natural language processing, computer vision, and robotics.
- Movie Industry Database Design
- At the University of Macau
- Developed a structured database system using MySQL Workbench, covering 9 entities and relations; Optimized query efficiency by implementing 10+ SQL queries involving JOINs, aggregations, and subqueries; Created 1 view, 2 functions and 1 procedure to enhance database usability, allowing quick retrieval.
Achievements/Awards
- Faculty of Science and Technology Outstanding Final Year Project (Top 3%), 2023 - 2024
- David and Barbara Pong Founding Master’s Scholarship (Top 1%), 2023 - 2024
- Lou Tou Vo Mathematics Scholarship (Top 3%), 2020 - 2021 / 2021 - 2022
- UM Residential College Foundation Scholarship (Top 3%), 2020 - 2021
- UM Dean’s Honor List, 2020 - 2024
- UM Top Ten Outstanding Student Reporters, 2020 - 2021 / 2023 - 2024
- UM Top Ten Outstanding PR Student Ambassadors, 2022 - 2023
Organizations
- Viterbi Graduate Student Ambassador, University of Southern California
- 01/2025 - present
- Answer questions for prospective and incoming students on Unibuddy
- Viterbi Graduate Orientation Leader, University of Southern California
- 12/2024 - present
- Assist with Orientation programs and other events in Spring 2025
- Presentation facilitator to a diverse audience
- Mentors to new students
- Campus tour guides
- Representatives of Viterbi Students
- Liaison between the office and students
- Chief UM Reporter, University of Macau
- Public Relations Student Ambassador, University of Macau
- Spring 2023 Global Ambassador, Univerisity of California, Berkeley
- Choi Kai Yau College Residential Assistant, University of Macau
- Choi Kai Yau College Soccer Team, University of Macau
Skills
- Programming Languages: Python, SQL, R, C#, MATLAB, Java, C, AMPL, Swift
- Tools: Tableau, PowerBI, LaTeX, Markdown, Jupyter Notebook, VS Code, Git, Snowflake, HTML, Vertex AI, Excel, PowerPoint, Word
- Languages: Mandarin (native), English (full professional), Cantonese (professional working)
Interests
- Music: Piano, Composition, Vocal, Chinese Traditional Instruments (Suona, Guanzi)
- Sports: Tennis, Soccer, Basketball, Table Tennis, Badminton
- Art: Photography, Calligraphy, Painting
- Discovery: Photoshop, Drone, Rubik’s Cube
