# Jiangshan Hong

> Software Engineer | Master of Computer Science

Location: Vacaville, California, United States
Profile: https://flows.cv/jiangshan

Driven by curiosity and continuous learning, I'm an adaptable programmer who's passionate about solving real-world challenges through creativity and code, with a keen interest in machine learning and system programming.

## Work Experience
### Software Engineer @ Alation
Jan 2025 – Present | Redwood City, California, United States

### Software Engineer @ Numbers Station AI
Jan 2024 – Jan 2025 | Menlo Park, California, United States
(Acquired by Alation)
- Developed various agents and tools, enhancing system functionality.
- Improved the core knowledge layer, leading to better data processing and retrieval.
- Designed and maintained FastAPI endpoints and data warehouse connectors for seamless data integration.
- Managed AWS clusters, ensuring smooth deployment processes and operational reliability.

### Software Engineer III @ Ennetix
Jan 2022 – Jan 2024 | Davis, California, United States
- Built data/ML model analytical pipelining solutions using PySpark+Golang for efficient processing.
- Developed full-stack applications with Vue.js and Golang endpoints for a seamless user experience.
- Optimized Linux Networking performance using C/C++ Kernel programming with ML algorithms.
- Deployed and maintained Kubernetes clusters on Azure utilizing Terraform and Docker.
- DBs: MinIO/Azure Blob Storage (Delta Table), Elasticsearch, PSQL, Redis

### Full Stack Developer @ Dot Dot Eat
Jan 2020 – Jan 2021
Dot Dot Eat is a Chinese food delivery website that served over 5000 customers in the greater UConn (University of Connecticut) area.

- Designed and implemented full-stack architectures of administrative backstage management and real-time site monitoring system
- Utilized Angular for frontend development and Spring-Boot for RESTful structured backend core service APIs along with Agile Development Methodology
- Used MySQL for account control/login authentication and MongoDB for operational data management
- Developed delivery routing algorithm with Google Maps API to achieve faster and more efficient delivery experiences
- Deployed to AWS S3 and Elastic Beanstalk for better scalability

### Machine Learning Engineer @ Cambricon Tech Inc.
Jan 2018 – Jan 2018 | Beijing
- Cooperated with State Grid to draft project plans and developed a power usage prediction model for specific city areas
- Implemented LSTM/CNN/Pooling layer-based architecture with batch gradient descent in TensorFlow
- Preprocessed and visualized raw data using Elastic stack
- Implemented proper data filtering in C++ and selected ICTCLAS system to simplify the process of identifying data in Chinese characters
- Calculated model loss function using Mean Square Error and combined with L1+L2 Regularization to penalize overfitting
- Improved energy efficiency by up to 4% for over 21 million people in Beijing


## Education
### Master's degree in Computer Science
University of Southern California

### Bachelor’s Degree in Computer Science and Engineering
University of Connecticut


## Contact & Social
- LinkedIn: https://linkedin.com/in/dunkhong

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Source: https://flows.cv/jiangshan
JSON Resume: https://flows.cv/jiangshan/resume.json
Last updated: 2026-04-11