About
Building at the intersection of data and systems
I'm Jian Cui, a Software and Data Engineer based in Denver, CO. I specialize in ML platforms, enterprise-scale data systems, and AI-driven automation — from multi-agent AI applications to Databricks CI/CD infrastructure.
Currently at Dish Network, where I serve as Technical Lead on enterprise data science projects — delivering ML-powered applications, pioneering Databricks CI/CD workflows, and establishing AI-driven development practices adopted across the engineering team.
Experience
Where I've worked
Software and data engineering across enterprise tech, AI research, and consulting — with a focus on ML platforms and cloud-native data systems.
Software Engineer
Technical Lead on multiple enterprise data science projects, delivering ML-powered applications and pioneering CI/CD and AI-driven development practices on Databricks and AWS.
- Designed and built a multi-agent AI chatbot (LangChain, LangGraph, AWS Bedrock) for the advertisement team to navigate the order processing system
- Introduced Orchestrated ETL Design Pattern and Generative AI–Driven Development, delivering the first fully AI-generated production project — reducing development time by 50%
- Pioneered the team's first Databricks Asset Bundle (DAB) CI/CD pipeline; architected the enterprise-level DAB CI/CD controller supporting multi-team, multi-environment deployments
- Spearheaded Test-Driven Development (TDD) methodology across multiple projects, establishing best practices for code quality
- Built MLaaS solutions leveraging AWS Lambda, API Gateway, SNS, SQS, S3, Athena, RDS, VPC, and IAM
- Integrated Apigee platform and Logz for API management and log monitoring; conducted EDA and debugging using SQL in AWS RDS and Athena
M.S. Information Studies
Graduate studies in Information Studies with a 4.0 GPA, pursued concurrently with full-time work.
- GPA: 4.0 / 4.0
Python Developer
Built Django web applications, RESTful APIs, and ETL workflows deployed on AWS.
- Built Django web applications and RESTful APIs with Django ORM backend integration
- Developed ETL workflows using Pandas for data transformation and processing
- Deployed applications and services on AWS (EC2, Lambda, RDS)
Research Assistant
Developed classification models for Brain-Computer Interface systems using Riemannian geometry applied to EEG brain-signal data.
- Developed classification models for Symmetric Positive Definite matrices using Riemannian geometry
- Implemented and evaluated algorithms on EEG brain-signal data from Brain-Computer Interface systems
- Conducted simulations comparing algorithm performance: convergence rate, computational complexity, and accuracy
M.S. Statistics
Graduate studies in Statistics with focus on machine learning and computational methods.
- GPA: 3.67 / 4.0
- Teaching Assistant for statistics courses
B.Econ. Statistics
Bachelor of Economics in Statistics. Graduated as Outstanding Graduate.
- Outstanding Graduates Award — Dec 2015
- President of Students Union — coordinated 10 departments and supervised 11 college Student Unions
- Organized large-scale events including competitions and annual parties with 2000+ participants
Capabilities
What I do well
ML & AI Engineering
- Multi-agent AI systems (LangChain, LangGraph)
- ML model development (scikit-learn, TensorFlow)
- MLaaS platform design & deployment
- AWS Bedrock & Amazon Q integration
- Distributed ML with PySpark on Databricks
Data Engineering
- Orchestrated ETL design patterns
- Apache Spark (Python/Scala) on Databricks
- AWS data stack (S3, Athena, RDS, Glue)
- Data modeling & schema design
- Exploratory data analysis with SQL & Pandas
Cloud & DevOps
- AWS (Lambda, API Gateway, EC2, S3, RDS, SNS/SQS, Bedrock, IAM, VPC)
- Databricks Asset Bundle CI/CD
- GitLab CI/CD pipelines
- Docker containerization
- Apigee API management & Logz monitoring
Want to collaborate or just have a conversation?
Get in touch →