Resume of Ziheng Wang

Education

McMaster University

GPA: 4.0/4.0

Master of Engineering in System and Technology

Sep. 2024 -- Jun. 2026
Yangtze University

GPA: 3.77/4.0

Bachelor of Engineering in Data Science and Big Data Technology

Sep. 2019 -- Jun. 2023

Skills & Certifications

Frameworks: React.js, Vue.js, React Native, Spring Boot, Flask, Django, Hibernate, MyBatis, Kafka, Spark
Cloud & Database: AWS EC2, Docker, MySQL, PostgreSQL, Redis, MinIO, InfluxDB, MongoDB, Jenkins, Kubernetes
Languages: Java (3 years), JavaScript (2 years), Python (4 years), TypeScript (2 years), C# (2 years), Flutter (1 year), Ruby (1 year)
Others: OOP, SQL, Node.js, RESTful APIs, Git, Linux, Jira, Confluence, Pandas, NumPy, Scikit-learn, PyTorch
Certifications: AWS Certified Developer - Associate

Work Experience

Full-stack Software Engineer

Nov. 2023 – Jul. 2024

Hangzhou Huidian Information Technology Co., Ltd.

Hangzhou, China, On-site
- Built and optimized the project management page and key features of the Employee Daily Report Management Platform using Spring Boot and Vue.js, resulting in reduced manual workloads for the software department.
- Developed process control features for the Cloud Flow Control Mobile Platform, successfully deploying the platform to over 2,000 employees in remote areas, achieving a daily active user (DAU) count of 1,500+.
- Improved the user experience of the Cloud Flow Control Mobile Platform by integrating CloudFront for faster content delivery, migrating storage from Minio to AWS S3, and redesigning the RESTful API, reducing the average image upload time from 6 seconds to 1 second.
- Implemented CI/CD pipelines using GitLab and Jenkins, reducing deployment time from 1 hour to 10 minutes, significantly reducing manual efforts and accelerating release cycles.
- Led weekly releases for the Cloud Flow Control Mobile Platform, ensuring smooth deployments with minimal downtime. Collaborated with test engineers to develop 50+ automated test cases using Selenium, achieving over 90% test coverage across critical modules such as project workflow and system management.
- Built a dynamic dashboard using React.js and utilized Echarts to display forecast data for future power load, wind power, and energy storage.
- Utilized InfluxDB to store historical data from upstream power stations, including power load, wind power, and energy storage metrics.
- Implemented Redis as a caching layer to store each new prediction result generated by the model, enabling quick access to recent forecasts.
- Integrated an ONNX-formatted LSTM model into a Java application for power load forecasting, achieving a MAPE of less than 13% in predicting future power loads for upcoming hours and days.

Projects

Property Finder App Spring Cloud, React Native, WebSocket
- Developed a real-time chat application using MongoDB, WebSocket, and Netty, supporting seamless communication for over 2K concurrent users. Conducted load testing with JMeter, ensuring reliable performance with sub-200 ms API response time.
- Built and implemented a recommendation server using Elasticsearch, leveraging parameters such as price, location, paid promotion status, and property type. Achieved data synchronization between Elasticsearch and MySQL to ensure eventual consistency.
- Extracted and encapsulated reusable components and utility methods, such as Axios interceptors for request and error handling, and common UI modules, significantly reducing code duplication across the codebase.
Fish Pond Controller Platform Spring Boot, React.js, Ant Design, MQTT, MySQL
- Designed the complete software UI/UX using Figma and collaborated with clients to gather requirements.
- Utilized Kafka to receive real-time environmental data from MQTT servers, transmitted by thousands of water quality sensors (pH, temperature, dissolved oxygen) for over 1,000 users in aquaculture.
- Integrated Spark for real-time data aggregation, filtering, and analysis, storing processed data in InfluxDB and enabling users to monitor water quality changes and parameters through an interactive, real-time dashboard.
- Implemented Java AOP for unified logging across RESTful API interfaces, enabling consistent system monitoring and centralized log collection, which streamlined debugging processes and improved overall development productivity.
- Used Docker, Nginx, and Docker Compose to deploy applications on EC2 servers, transforming the deployment process from JAR and DIST packages to containerized solutions.