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M.S. in Computer Science

Georgia Insititute of Technology

• GPA: 4.0/4.0

B.S. in Computer Science

Georgia Insititute of Technology

• GPA: 3.96/4.0
• Major GPA: 4.0/4.0
• Awards: Faculty Honors, Dean's List
• Engagements: College of Computing Peer Mentor, HackGT Hackathon, GT Trailblazers, Chinese Student Scholar Association

Early College Scholar

Washington University in St. Louis

• Grade: A+
• Course: Design Thinking: Human-Centered Approaches to Making the World (3 credits)
• Project: Worked with a group of 3 creating a cooking system prototype for teaching beginner cooks during the pandemic

Software Development Engineer | HW/SW Co-Design Chip Validation

Annapurna Labs (AWS) | Austin, TX

• Designed and implemented robust modern C++ test benches for critical data movement architecture, validating DMA

Software Engineer

Bank of America | Charlotte, NC

• Optimized the FR Y-14Q Schedule L regulatory template download process, reducing execution time by 75% (~30min to 7min).
• Collaborated with Cross-Functional Team to build a Python-based Data Quality Control system in Quartz to identify counterparty financial data inconsistencies in Enterprise Stress Testing process, enabled automated reconciliation and reduced operational risk.
• Resolved user-reported issues and fixed bugs in deliverables in BAU workflow, while driving release quality by building robust Python Unit Tests (99% coverage) and executing UAT and Regression Tests for all production release for system reliability.

Software Engineer Intern | Summer Analyst in Global Technology

Bank of America | Charlotte, NC

• Designed and built a Python-based Workflow Orchestration Tool to automate over 20 pre-processing steps for regulatory reporting in Oracle DB, reducing manual setup time by 80% and improving overall system efficiency.
• Integrated real-time monitoring and status tracking into the internal UI framework, enhancing workflow visibility and reducing user-induced errors through automated validation checks.

Automatic Algorithm Design Team Member (Vertically Integrated Project)

Georgia Tech Research Institute | Atlanta, GA

• Participated in bootcamp to learn Genetic Algorithms, Genetic Programming, Machine Learning, DEAP (Distributed Evolutionary Algorithms in Python), and EMADE (Evolutionary Multi-objective Algorithm Design Engine)
• Led a group of 4 to achieve the co-dominant solutions and find the Pareto front using different ML models, Multi-Objective Genetic Programing, and EMADE on predicting the survival on Titanic, with the Accuracy Score of 86.59% and True Positive Rate 88.03%
• Joined image processing sub-team working with 2 students to preprocess 49,466 images for testing the Evolutionary Model.
• Documented legibility, intelligible, and technical meeting notes with MediaWiki to track labs

Undergraduate Research Assistant

Ubicomp Health Lab @ Georgia Tech | Atlanta, GA

• Conducted research with Dr. Rosa Arriaga about Human-Computer Interaction in Ubicomp Health Lab, focusing on building the Diabetic Ulcer Computational Sensing System for diabetes patients and clinicians that is usable and useful
• Working with a group of 9 on designing and developing the system with React Native, reviewing related literatures, and participating weekly meetings

Closed Captions Simplifier with Fine-tuned LLM

• Built and deployed an end-to-end ML system that fine-tuned LLMs via LoRA for abstractive closed caption simplification (34% length reduction, >90% retention), enhancing accessibility.
• Integrated Whisper ASR and built a real-time inference pipeline and demo app, demonstrating practical application of personalized NLP in a latency-aware setting.

Distributed File System (Affliliate Project for CS6200)

• Designed and implemented a high-performance distributed file system with gRPC and Protocol Buffers, supporting scalable multi-client access and weak consistency.
• Built an efficient in-memory caching proxy with multi-threading and IPC primitives (semaphores, mutexes), achieving low-latency file serving under concurrent load.

Acronym Search Engine

• Led an 8-member team to build a scalable acronym search engine with Python, SQLite, and Streamlit, covering 30,000+ acronyms, significantly reducing internal training time and cost.

Semantic Segmentation Deep Learning (Affiliated Project for CS4476)

• Developed and implemented a deep learning model for semantic segmentation using PSPNet architecture w/ ResNet backbone.
• Optimized model through dilation and Pyramid Pooling Module (PPM), achieved a mIoU of 60.4% on the Camvid dataset

Restaurant Supply Express (Affiliated Project for CS4400)

• Worked with a team of 4 to draw the Enhanced Entity Relationship Diagram (EERD), create the physical database schema, and implement views and stored procedures in MySQL based on the restaurant delivery scenario description and initial dataset
• Implemented the backend, including the MyBatis, POJO, and API, for a final full-fledged website applicationxw

Facial Emotion Recognition (Affiliated Project for CS4641)

• Led a team of 5 to train & test machine learning models on human facial emotion recognition task in Python and Jupyter notebook
• Preprocessed the images with Principal component analysis (PCA) to improve algorithm efficiency and minimize information loss
• Fine-tuned and compared the result of 9 different model, including ResNet, AlexNet, Random Forest, SVM, Neural net, etc.

• Georgia Tech's Dean's List (Spring 2024)

• Georgia Tech's Faculty Honor (Fall 2023)
• Georgia Tech's Faculty Honor (Spring 2023)

• Georgia Tech's Faculty Honor (Fall 2022)
• Georgia Tech's Faculty Honor (Spring 2022)

• Georgia Tech's Faculty Honor (Fall 2021)

• AP® Scholar with Distinction Award

Member

Asian Liver Center @ Stanford University

• Completed an online course about hepatitis, accomplished presentation, and recorded videos during the COVID-19 showing an overview of hepatitis B to introduce the route of transmission, the prevention methods, and elimination the discrimination to patients (Qingqing Scholarship Program)
• Selected as 1 of 100 exceptional students worldwide, attended an associated Youth Leadership Conference, worked with 9 global students to design a virtual campaign about hepatitis B, and presented ideas to experts at Stanford University

Participant

OSPA (Overseas Students Philanthropy Actions)

• Designed a questionnaire for rural education teachers with multiple rounds of trial and revision, which was designed based on the principles of validity, simplicity, user-friendliness, science, and innovation.
• Collected over 350 sets of data through the questionnaire to lay the groundwork for the compilation of a white paper on rural education in China
• Analyzed for reliability and validity of the questionnaire to avoid inducing subjects and filtered intrusive data and outliers