Xuezhou Wen
Software Engineer
San Jose,California
Summary
Familiar with entire software engineering process from design and development to testing and deployment.
Familiar with the web development process and tools and has knowledge in finance, art and design.
Overview
3
3
years of professional experience
6
6
years of post-secondary education
3
3
Languages
Work History
Software Engineer
Yellowbrick Data Inc
Mountain View, CA
06.2022 - Current
- Developed a Data Storage Management System using C/C++ and PostgreSQL that supports features including database cloning, snapshots and time-machine functionality, enabled easy data versioning, rollback, shallow copy, and historical analysis
- Developed a mass data transfer system using Java and used multi-threading and efficient I/O to improve transfer performance
- Implemented fault tolerant mechanism to support automatic continuation after failures, integrated with AWS services, Rstor, Azure AKS and GCP
- Parallel Data Processing MapReduce API, Big Data, Multi-threading)
Software Developer Intern
Pzena Investment Management
New York, NY
06.2021 - 08.2021
- Developed a robust and scalable office automation system using C#, .NET, and LINQ that automates and streamline processes including financial report generation, data analysis, document management and periodic email notifications to clients
- Developed and maintained company’s official websites using HTML, CSS, JavaScript, and WordPress
- Implemented accessibility features to ensure compliance with the American Disability Act (ADA) standards, making the websites accessible to users with disabilities.
SWE Internship
Liftians Inc
New York, NY
03.2021 - 05.2021
- Designed and implemented an Automatic Guided Vehicle (AGV) management system using Python and MySQL for optimizing warehouse operations and inventory management
- Developed algorithms based on A
- To plan and optimize AGV routes for items retrieval, replenishment, and inventory movement.
Machine Learning Intern
Dr. Yufang Tang
State College, PA
05.2020 - 09.2020
- Developed and implemented a deep learning model using Python, TensorFlow, Keras, and convolutional neural networks (CNN) for the diagnosis of diabetic retinopathy
- Preprocessed large-scale retinal photographs imaging datasets to extract relevant features
- Designed and trained CNN architectures using the Keras library to detect and classify 5 stages of diabetic retinopathy, achieving 94% accuracy
- Developed data augmentation strategies to enhance the model’s ability to reduce overfitting
- Applied transfer learning techniques with VGG and ResNet to improve the efficiency and effectiveness of the retinopathy detection model.
Education
Master of Science - Computer Science
New York University
New York, NY 09.2020 - 05.2022
Bachelor of Science - Computer Science
Pennsylvania State University
University Park, PA 06.2016 - 05.2020
Skills
Languages: C, C, Python, Java, Go, JavaScript, SQL, Kotlin, Elixir, HTML, Ada, Scala, C#, Perl
Web & Database: Spring Boot, Nodejs, RESTful APIs, Flask, MySQL, PostgreSQL, MongoDB, KDB, gRPC
Big Data & ML: Spark, Hadoop, MapReduce, HDFS, TensorFlow, Keras, Panda, Numpy
Software & Tools: Git, Github, Bitbucket, Confluence, Docker, Kubernetes, Linux/Unix, Windows, IntelliJ IDEA, VS Code, AWS, GCP
Test, Debug, CI/CD: Jenkins, GitLab, Go Testing, Junit, Mockito, GDB, LLDB
Timeline
Software Engineer
Yellowbrick Data Inc
06.2022 - Current
Software Developer Intern
Pzena Investment Management
06.2021 - 08.2021
SWE Internship
Liftians Inc
03.2021 - 05.2021
Master of Science - Computer Science
New York University
09.2020 - 05.2022
Machine Learning Intern
Dr. Yufang Tang
05.2020 - 09.2020
Bachelor of Science - Computer Science
Pennsylvania State University
06.2016 - 05.2020