Santa Clara, California, United States
Graduated from Carnegie Mellon’s MISM program, I build intelligent systems that combine logic, deep learning integration, and LLMs — with a strong foundation in backend engineering and scalable cloud infrastructure. I love the full lifecycle: from vague ideas to prototypes, and from prototypes to real, reliable systems. With strong engineering instincts and a builder’s mindset, I enjoy breaking down ambiguous problems and turning them into clear, practical solutions — whether it’s orchestrating models, scaling systems, or designing AI pipelines. I thrive in high-trust, collaborative teams where curiosity meets execution, and where engineers are trusted to think independently and build with care.
Visualization of 2-Mode Networks: Worked on an agile team building a full-stack end-to-end solution for visualizing graphs to enhance analysis of connections between research publications o Implemented a front-end webpage using HTML, CSS, JavaScript, and D3 for data visualization of networks of research papers o Delivered a back-end application using design galleries to aid less-experienced users in generating excellent network visualizations o Researched the application of recurrent neural networks in generating the visualization of networks
o Synchromodality Project: Focused on optimizing machine learning and simulation approaches to plan supply chain operations in order to reduce inventory costs and maximize transportation savings • Optimized both JMP and Keras neural networks, increasing savings by hundreds of thousands of dollars • Integrated and automated the entire data acquisition and analytic process with Keras neural network model in a KNIME workflow, greatly improving data capacity and reducing computation time • Created instructions and training projects to present the Predictive Analytics model to other departments o Advance Order Verification Project: Focused on testing and analyzing the effects of various supply chain parameters to reduce the penalty of uncertainty in quotations • Automated the process and results tabulation, increased test capability and efficiency • Designed and performed experiments to study the interaction of supply chain parameters • Analyzed and summarized results in dollar savings and visualized the findings in JMP o Europe Supply Chain Simulation: Focused on verification of input data and simulation program • Identified and investigated abnormal data with simulation methods, improving the quality of data • Verified updated versions of the simulation program with calculations
• (Part-time) English-Chinese alternating translation for academic correspondences and documents