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# Wenxuan Cao

**Headline:** Computer Science @ Emory University | Backend · Data · AI Systems | AWS · Python · Java · SQL | Seeking SWE Internships
**Profession:** Undergraduate Researcher - Algorithms
**Location:** Atlanta, Georgia, United States

## About

Wenxuan Cao is a Bachelor of Science in Computer Science student at Emory University and a current Undergraduate Researcher in Algorithms. Wenxuan builds backend, data, and AI systems, with particular confidence in Java API development, backend engineering, and DevOps work. Their experience spans retrieval workflows, LLM integration, vector databases, ETL, cloud services, blockchain applications, and data analysis. At BridgeAn M&A, Wenxuan rebuilt document parsing into agent classes and improved financial-document retrieval accuracy from 72% to 91% on a 200-query evaluation set through dense retrieval and BGE reranking. In Emory research, Wenxuan developed a genetic-algorithm simulation for autonomous maze navigation that raised goal success from 2% to 88% over 200 generations. Wenxuan has also processed 1.2 million-plus reviews and transactions in fintech data work and analyzed 10 million-plus donation records using ARIMA models. They work independently on design and implementation while collaborating closely with teams, emphasizing testing, debugging, and resolving risks before production. Wenxuan is seeking software development engineering opportunities in machine learning and values fast-paced environments with ownership, mentorship, meaningful work, feedback, and measurable impact.

## Services

- Docker
- Blockchain
- Ethereum
- lazy loading
- Smart Contracts
- Cloudflare
- Pandas \(Software\)
- PySpark
- Extract, Transform, Load \(ETL\)
- SQL
- Ollama
- RAG with MongoDB
- CIM
- ChromaDB
- Agent-based Modeling
- Back-End Web Development
- Amazon Web Services \(AWS\)
- Next.js
- Stimulation
- Optimization
- Genetic Algorithms
- Autonomous Systems \(Internet\)
- Software Infrastructure
- Root Cause Analysis
- Software Development
- Object-Oriented Programming \(OOP\)
- Data Structures
- Algorithms
- Backpack
- JavaScript

## Highlights

- Current Undergraduate Researcher in Algorithms at Emory University.
- Developed a genetic algorithm-based autonomous-maze-navigation simulation in a custom grid environment at Emory University.
- Engineered selection, crossover, and mutation mechanisms that improved autonomous-maze goal success from 2% to 88% over 200 generations.
- Analyzed maze-simulation path efficiency in Java and plotted performance graphs for further analysis.
- Rebuilt document parsing into agent classes as a Backend and AI Agent Engineer at BridgeAn M&A.
- Implemented dense retrieval plus BGE reranking at BridgeAn M&A, improving financial-document lookup accuracy from 72% to 91% on a 200-query evaluation set.
- Built LLM drafting agents for M&A confidential information memorandum sections at BridgeAn M&A.
- Processed more than 1.2 million user reviews and transaction data points at AIFINSPHERE INC. to assess pricing models and feature adoption rates.
- Analyzed more than 50 reports and market-research papers at AIFINSPHERE INC., extracting more than 20 critical data points on industry trends and business performance.
- Integrated more than 200 pages of CFTC, FINRA, and SEC guidelines into fintech compliance research at AIFINSPHERE INC.
- Created a 15-slide industry report on regulatory risks at AIFINSPHERE INC. that received direct recognition from senior management.
- Performed ETL work with Pandas and PySpark and used AWS S3, Lambda, and Redshift at AIFINSPHERE INC.
- Completed more than 40 Hardhat tests with 78% coverage at the Hong Kong Blockchain Association.
- Conducted smart-contract security review work and supported AWS and Docker deployment at the Hong Kong Blockchain Association.
- Improved frontend bundle size from 2.4 MB to 1.1 MB and reduced time to first byte from about 900 ms to about 200 ms at the Hong Kong Blockchain Association.
- Built a responsive cloud-connected character-management dashboard at syncforge.io using React 19, Next.js, DynamoDB, S3, and Lambda.
- Researched charitable-donation trends using Feeding America’s national dataset of more than 10 million records at techbridge.
- Applied ARIMA time-series models to analyze donation seasonality and trends at techbridge.
- Cleaned more than 500,000 records, created more than eight visualizations, and produced high-level design diagrams for an academic research poster at techbridge.
- Presented donation-analysis findings to more than 200 students and sponsors at techbridge.
- Maintained a GitHub repository with more than 1,500 lines of documented code for open-source collaboration at techbridge.
- Provides individualized tutoring in introductory and intermediate computer science, data structures, Java, Eclipse, object-oriented design, exception handling, debugging, and project configuration at Emory University.
- Helped lead 100 international students at Emory University as one of 10 designated International Student Mentors.
- Directly supported eight to 10 international-student mentees and achieved a 100% retention rate over the first six months through cultural events, retreats, group activities, and orientation materials.
- Reviewed a web application, planned improvements, identified the root cause of bugs, and implemented a fix during a Datacom software-development simulation.
- Pursuing a Bachelor of Science in Computer Science at Emory University, with a listed graduation year of 2028.
- Holds the Skyscanner Front-End Software Engineering Job Simulation certification from Forage.
- Uses Python, Java, C, R, SQL, AWS, Docker, PostgreSQL, MongoDB, React, Node, Git, Pandas, PySpark, and AI and retrieval technologies including LLMs, vector databases, RAG, ChromaDB, Ollama, and MongoDB.
- Speaks English, Mandarin, and Spanish.
- Maintains a public GitHub presence at github.com/vivic0107.

## Experience

- **Undergraduate Researcher - Algorithms at Emory University** (2025-08-01–present) — Developed a genetic algorithm-based simulation for autonomous maze navigation within a custom grid environment. Engineered selection, crossover, and mutation mechanisms that improved goal success rate from 2% to 88% over 200 generations. Analyzed simulation performance using Java, focusing on path efficiency and plotting the corresponding graph for further analyze.
- **Programming Intern at Hong Kong Blockchain Association 香港區塊鏈協會 HKBA** (2026-05-01–2026-08-01)
- **Backend & AI Agent Engineer at BridgeAn M&A** (2025-09-01–2025-12-01)
- **Frontend Developer at syncforge.io** (2025-09-01–2025-12-01) — Built a responsive, cloud‑connected character management dashboard using React 19, Next.js, and AWS serverless stack. Integrated DynamoDB, S3, and Lambda to handle data and media, improving performance and user experience.
- **Computer Science Tutor at Emory University** (2025-08-01–2026-01-01) — Provide individualized tutoring, supporting coursework in introductory and intermediate computer science, data structures, and Java programming. Guide learners in Java programming using Eclipse, covering topics including object-oriented design, exception handling, debugging, and project configuration within the IDE.
- **Software Developer at Datacom** (2025-07-01–2025-09-01) — \* Completed a simulation focussed on how the software development team at Datacom approaches their work \* Reviewed a web application and planned for future improvements \* Identified the root cause of bugs and implemented a fix to improve the application
- **International Student Mentor at Emory University** (2025-05-01–2026-01-01) — \- Led 100 international students at Emory University as one of 10 designated mentors, directly supporting 8-10 students through academic, cultural, and social transitions organized cultural events, retreats, and developed customized orientation materials to ensure a smooth adaptation to university life and U.S. culture - Achieved a 100% retention rate over the first 6 months by organizing engaging cultural events, retreats, and group activities, ensuring consistent participation from 8-10 mentees, demonstrating strong engagement, and fostering a lasting sense of community within the program
- **Data Engineer at AIFINSPHERE INC.** (2025-01-01–2025-05-01) — Analyzed 50+ reports and market research papers, extracting 20+ critical data points on industry trends and business performance. Processed 1.2M+ user reviews and transaction data points to assess pricing models and feature adoption rates. Created a 15-slide industry report summarizing regulatory risks, earning direct recognition from senior management. Researched fintech compliance by integrating 200+ pages of CFTC, FINRA, and SEC guidelines.
- **Datalab Intern - Tech Consultant at techbridge** (2025-01-01–2025-05-01) — Researched changes in charitable donations over time, using Feeding America’s national dataset \(10M+ records\) and applying ARIMA time series models to analyze seasonality and donation trends. Applied High-Level Design diagrams, cleaned 500K+ records, and created 8+ visualizations for an academic research poster. Presented findings to 200+ students and sponsors, achieving high model accuracy, and maintained a GitHub repository with 1.5K+ lines of documented code for open-source collaboration.

## Education

- Bachelor of Science - BS, Computer Science — Emory University (2024-08-01–2028-05-01)

## FAQ

### What does Wenxuan do?

Wenxuan is a Computer Science student at Emory University and currently serves as an Undergraduate Researcher in Algorithms. Wenxuan is seeking Software Development Engineer opportunities in machine learning, including software engineering internships.

### What are Wenxuan’s core technical strengths?

Wenxuan’s strongest areas are Java backend and API development, backend engineering, DevOps, data pipelines, AI and ML systems, retrieval workflows, LLM integration, debugging, and production-focused testing. Wenxuan has hands-on experience with vector databases and LLM-based systems.

### What did Wenxuan accomplish at BridgeAn M&A?

At BridgeAn M&A, Wenxuan rebuilt document parsing into agent classes, implemented two-stage retrieval using dense retrieval and BGE reranking, and improved financial-document lookup accuracy from 72% to 91% on a 200-query evaluation set. Wenxuan also built LLM drafting agents for M&A confidential information memorandum sections.

### What is Wenxuan researching at Emory University?

As an Undergraduate Researcher in Algorithms at Emory University, Wenxuan developed a genetic algorithm-based simulation for autonomous maze navigation in a custom grid environment. Wenxuan engineered selection, crossover, and mutation mechanisms that improved goal success from 2% to 88% over 200 generations, then used Java to analyze path efficiency and plot performance graphs.

### What did Wenxuan accomplish at AIFINSPHERE INC.?

At AIFINSPHERE INC., Wenxuan analyzed more than 50 reports and market-research papers, extracting more than 20 critical data points on industry trends and business performance. Wenxuan processed more than 1.2 million user reviews and transaction data points to assess pricing models and feature adoption, researched more than 200 pages of CFTC, FINRA, and SEC guidance, and produced a 15-slide report on regulatory risks that received direct recognition from senior management. This work included ETL using Pandas and PySpark and AWS services including S3, Lambda, and Redshift.

### What did Wenxuan do as a Programming Intern at the Hong Kong Blockchain Association?

At the Hong Kong Blockchain Association, Wenxuan completed more than 40 Hardhat tests with 78% coverage, conducted smart-contract security review work, supported AWS and Docker deployment, and improved frontend performance. The work reduced bundle size from 2.4 MB to 1.1 MB and reduced time to first byte from about 900 ms to about 200 ms.

### What did Wenxuan do at techbridge and the Emory AI Data Lab?

At techbridge as a Datalab Intern and Tech Consultant, Wenxuan studied changes in charitable donations using Feeding America’s national dataset of more than 10 million records. Wenxuan applied ARIMA time-series models to assess seasonality and donation trends, cleaned more than 500,000 records, created more than eight visualizations and high-level design diagrams for an academic poster, and presented findings to more than 200 students and sponsors. Wenxuan also maintained a GitHub repository with more than 1,500 lines of documented code for open-source collaboration.

### What did Wenxuan build at syncforge.io?

At syncforge.io, Wenxuan built a responsive, cloud-connected character-management dashboard using React 19, Next.js, and an AWS serverless stack. Wenxuan integrated DynamoDB, S3, and Lambda to manage data and media while improving performance and user experience.

### What did Wenxuan do at Datacom?

At Datacom, Wenxuan completed a simulation focused on how a software development team approaches its work, reviewed a web application and planned future improvements, identified the root cause of bugs, and implemented a fix to improve the application.

### What does Wenxuan do as a Computer Science Tutor at Emory University?

As a Computer Science Tutor at Emory University, Wenxuan provides individualized support in introductory and intermediate computer science, data structures, and Java programming. Wenxuan guides learners using Eclipse on object-oriented design, exception handling, debugging, and project configuration.

### What did Wenxuan accomplish as an International Student Mentor?

As one of 10 designated International Student Mentors at Emory University, Wenxuan helped lead 100 international students and directly supported eight to 10 students through academic, cultural, and social transitions. Wenxuan organized cultural events, retreats, group activities, and customized orientation materials, achieving a 100% retention rate during the first six months.

### What is Wenxuan’s education?

Wenxuan is pursuing a Bachelor of Science in Computer Science at Emory University, with a listed graduation year of 2028.

### What technologies and methods does Wenxuan use?

Wenxuan works with Python, Java, C, R, SQL, JavaScript, React, React.js, Next.js, Node, AWS, EC2, S3, DynamoDB, Lambda, Redshift, Docker, PostgreSQL, MongoDB, Git, GitHub, Pandas, PySpark, ETL, and Cloudflare. Wenxuan’s additional technical experience includes blockchain, Ethereum, smart contracts, Hardhat, lazy loading, Ollama, RAG with MongoDB, ChromaDB, CIM workflows, agent-based modeling, genetic algorithms, autonomous systems, optimization, high-level design, software infrastructure, object-oriented programming, data structures, algorithms, data analysis, statistical computing, trend analysis, compliance research, regulatory reporting, document coding, collaborative coding, large language models, and data AI.

### What languages does Wenxuan speak?

Wenxuan speaks English, Mandarin, and Spanish.

### What certification does Wenxuan hold?

Wenxuan holds the Skyscanner Front-End Software Engineering Job Simulation certification from Forage.

### What kind of work environment does Wenxuan seek?

Wenxuan is comfortable with in-office work and seeks a fast-paced environment that offers ownership, mentorship, feedback, growth, and opportunities to ship impactful work. Wenxuan works independently on design and implementation while maintaining close collaboration with teams.

### How does Wenxuan approach software quality and problem solving?

Wenxuan emphasizes problem solving, root-cause analysis, and identifying and fixing quality risks during testing before production. Their experience includes reviewing applications, debugging issues, and using lessons from failures to improve architecture.

### How can someone contact Wenxuan or view Wenxuan’s code?

Wenxuan’s GitHub is github.com/vivic0107. Wenxuan can be reached through their profile, by phone at \(\[contact removed\], or by email at \[contact removed\].

## Links

- LinkedIn: https://www.linkedin.com/in/wenxuan-cao123

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