Qinrui Zhang
Sydney,NSW
Overview
5
5
years of professional experience
Work History
Operation and Maintenance Engineer
State Grid Corporation of China
Tianjin, China
08.2019 - 03.2024
- Contacted suppliers and equipment manufacturers to obtain specialized operational information.
- Conducted routine inspections of facilities and equipment to identify and address issues proactively.
- Evaluated effectiveness of existing practices by conducting studies on current methods used during operations.
- Participated in the development and execution of energy-saving initiatives, reducing operational costs.
- Worked with vendors to secure parts, supplies and services required for operations and maintenance activities.
- Specified system components or direct product modifications to verify conformance with engineering design or performance specifications.
Education
Bachelor of Science - Communications Engineering
Harbin Institute of Technology
Harbin, Heilongjiang, China07-2019
Master of Science - Computer Science
University of Sydney
Sydney, NSWSkills
- Team collaboration
- Problem solving
- Attention to detail
- LLM fine dining
- Data Analysis and Semantic Analysis Based on Python
- Python-Based Web and Social Media Crawler
Self introduction
- I earned my bachelor’s degree in Communication Engineering at Harbin Institute of Technology, where I built a solid foundation in communication‑system modeling and became proficient with MATLAB and Simulink. For my undergraduate projects, I developed a Zigbee‑based smart‑home control system and optimized a frequency‑hopping communication system. Working independently, I completed end‑to‑end simulations—from channel modeling and modulation/demodulation to bit‑error‑rate analysis. Compared with a pure computer‑science background, my strength lies in translating mathematical theory into practical engineering solutions.During my master’s studies, I pivoted to Computer Science and Artificial Intelligence. I now use Python’s data‑science ecosystem for the entire analytics pipeline: data cleaning, feature engineering, model building, and visualization. I understand the full machine‑learning workflow and can handle data preprocessing, feature extraction, model construction, evaluation, and hyperparameter tuning on my own. For deep learning, I independently build and train neural networks with TensorFlow and PyTorch.I also have a systematic grasp of Retrieval‑Augmented Generation (RAG). I can implement the complete workflow: creating vector indexes with embedding models, performing semantic retrieval, and combining the retrieved context with generative models to deliver enhanced question‑answering. I appreciate how embedding design choices and similarity metrics affect system performance. Finally, I bring strong engineering‑collaboration skills. I use Git for version control and can reproduce, debug, and retrain open‑source projects, providing technical support for my colleagues’ research. My motivation on engaging in the research is that I want to pursue an academic career in the future, and joining some research project in my first year in USYD would make a solid foundation for me.
Timeline
Operation and Maintenance Engineer
State Grid Corporation of China
08.2019 - 03.2024
Bachelor of Science - Communications Engineering
Harbin Institute of Technology
Master of Science - Computer Science
University of Sydney
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