resume

Basics

Name Albert Xu
Email albertxu1010@gmail.com
Phone 858-568-6771
Url https://linkedin.com/in/albert-xu-a611a51bb
Summary Full-stack software engineer with hands-on experience in backend APIs, cloud deployment, and frontend frameworks. Proven ability to build scalable applications, automate workflows, and contribute to research on data quality in AI systems. Passionate about engineering elegant solutions to real-world problems.

Education

  • 2022.09 - 2024.03

    La Jolla, CA, US

    Master of Science
    University of California, San Diego
    Computer Science
    • Principles of Computer Operating Systems
    • Statistical NLP
    • Principles of Machine Learning
    • Principles of Computer Architecture
    • Principles of AI
  • 2018.09 - 2022.06

    Liverpool, UK

    Bachelor of Science
    University of Liverpool
    Computer Science
    • Advanced Object Oriented C Languages
    • Software Engineering
    • Complexity of Algorithms

Work

  • 2024.10 - Present
    Back-end Engineer
    4Pexonic Inc.
    Developed an academic impact analysis platform tracking citation patterns and research influence using Node.js, MongoDB, and Next.js with Docker containerization, serving university researchers and policy institutions.
    • Built two-tier caching with in-process LRU and Redis for bibliometric queries, reducing response times by 40% for complex research trend analysis and cross-disciplinary impact calculations.
    • Integrated gRPC microservices for data processing pipelines and implemented secure authentication with bcrypt/session management, configured Nginx SSL to protect academic publication data and researcher information.
    • Created API documentation for citation tracking endpoints, established monitoring for data accuracy validation, and collaborated with QA team on bibliometric testing protocols, improving system reliability by 25%.
  • 2024.01 - 2024.04
    Web Developer
    UCSD ECE Department
    Developed the ITA Workshop website with video/document upload functionality using Django and React, serving 1000+ users with Redis server-side caching and optimized SQL indexes for improved page load performance.
    • Refactored file upload system to asynchronous chunked processing, enabling large video and document handling while maintaining ACID-safe database schema changes and improving overall system throughput.
    • Implemented multipart S3 uploads with SHA-256 integrity checks and PostgreSQL performance tuning, achieving high-throughput file transfers with cross-region replication for data durability.
  • 2023.10 - 2024.09
    Research Engineer
    UCSD Halıcıoğlu Data Science Institute
    Built a modular 'Injector' pipeline (pattern-gen → sampling → injection → evaluation) with beam-search pruning and Optuna Bayesian tuning, raising downstream model accuracy by 10% and fairness by 15%.
    • Co-authored 'Stress-Testing ML Pipelines with Adversarial Data Corruption,' VLDB 2025; introduced the first adversarial benchmark for data-quality robustness.
    • Ran comprehensive Inject → Clean → Retrain benchmarks on missing-value, selection-bias, and outlier scenarios while optimizing Z-score standardization for skewed data—boosting attack coverage 30%.

Skills

Programming Languages
Python
Java
Go
SQL
C/C++
HTML/CSS
JavaScript
Rust
Objective-C
C#
R
Haskell
Frameworks and Tools
Django
React
Git
Docker
AWS
gRPC
Matlab
Flask
Hadoop
DynamoDB

Languages

Chinese
Native speaker
English
Fluent

Interests

Photography
Landscape Photography
Portrait Photography
Travel
Cultural Exploration
Adventure Travel