Bio
Xiuling Nie is a highly experienced software engineer with over 15 years of expertise in software development, cloud computing, and infrastructure automation. Certified in both AWS and Google Cloud, she is recognized for her deep technical knowledge, problem-solving abilities, and leadership in cloud-native environments. In recent years, her work also involves building AI applications in geospatial domains, including large-scale data analysis on human mobility using advanced ETL pipelines.
Professional Experience
Oak Ridge National Laboratory (ORNL), TN — Software Engineer
Nov 2021 – Present
- Leads cloud infrastructure for a cloud-native projects
- Designs and automates infrastructure using Terraform and Python, supporting ETL pipelines with Airflow.
- Builds and maintains robust ETL pipelines for processing large-scale human mobility data, enabling advanced analytics and machine learning applications.
- Implements big data solutions using Apache Spark, BigQuery, GKE, and Pub/Sub.
- Develops AI applications in geospatial domains, integrating spatial data with machine learning models for research and analysis.
- Collaborates with researchers and developers to optimize access to cloud-native geospatial data and tools.
- Acts as liaison with Google Cloud solution architects for resource management and optimization.
AMPLYFI, Cardiff, UK — Software Engineer
Dec 2019 – Nov 2021
- Built and maintained AWS-based data pipelines and Â鶹ӰÒô dev tools.
- Developed connectors for AI/ML data ingestion.
- Ensured system reliability through monitoring and testing.
Deep Web Technologies, NM — Various Roles
Dec 2007 – Dec 2019
- Led the connector development team for federated search applications.
- Worked on end-to-end software lifecycle: from development to deployment and QA.
- Interfaced between project management and engineering to translate customer needs.
Los Alamos National Laboratory, NM — Graduate Research Assistant
Feb 2007 – Dec 2007
- Developed digital library tools and community platforms.
- Performed metadata QA and cataloged technical reports.
Education
- M.S., Library & Information Science — University of Illinois at Urbana-Champaign, USA, 2007
- M.S., Electrical Engineering — Beijing University of Aeronautics and Astronautics, China, 2004
- B.S., Electrical Engineering — Qingdao University, China, 2001
Specialized Equipment
- Cloud Platforms: AWS, GCP (GKE, CloudSQL, BigQuery, Cloud Functions, Pub/Sub)
- Infrastructure Tools: Terraform, Docker Swarm, Airflow
- Programming Languages: Python, Java, Ruby, JavaScript, SQL, C/C++, PHP, Node
- Databases: PostgreSQL, MySQL, MongoDB, Oracle, Microsoft SQL Server
- Operating Systems: Linux (Ubuntu, Debian, CentOS, RedHat), macOS, Windows
- DevOps & Tooling: Git, SVN, Apache, VirtualBox, Vagrant, Gradle, Ant
- Certifications:
- Generative AI for Software Development from (2025)
- GCP Certified Associate Cloud Engineer (2022)
Certified Scrum Master (2021)