# Chun Sing Tsui

> Staff Solutions Engineer at Confluent | Data in Motion

Location: Raleigh-Durham-Chapel Hill Area, United States
Profile: https://flows.cv/chunsingtsui

Constantly learning. Currently working with data in motion.

## Work Experience
### Staff Solutions Engineer, Team Lead (Strategic FSI) @ Confluent
Jan 2026 – Present

### Staff Solutions Engineer (Strategic FSI) @ Confluent
Jan 2024 – Jan 2026
• FY24 President's Club
• FY24 FSI SE of the Year

### Senior Solutions Engineer @ Confluent
Jan 2022 – Jan 2024
Helping customers succeed with data in motion

### Cloud Solution Architect, Data and AI - IBM Expert Labs @ IBM
Jan 2020 – Jan 2022 | Raleigh-Durham-Chapel Hill Area
• Accelerate client adoption of Red Hat OpenShift (Kubernetes) and IBM Cloud Paks (IBM containerized products) with a focus on deployment architecture and strategy
• Implement proof-of-concepts (POCs) and minimal viable products (MVPs) by co-creation with clients to demostrate the value of modernization and hybrid cloud strategies for data and integration
• Leveraged cloud DevOps and CI/CD to showcase modern agile integration methodology
• Build demos and assets showcasing Cloud Pak for Data features and end-to-end MLOps strategies including data ingestion, model development, deployment, and monitoring for performance, drifts, bias
• Conduct technical workshops on range of topics such as cloud, MLOps, containers, etc. to business partners, customers, and students
• Developed reusable assets such as demos, installation guides, technical references for driving client adoption on IBM Github repositories
• Specialized in Cloud Pak for Integration - DataPower, Event Streams (Kafka), API Connect, App Connect, MQ - IBM's core middleware and Cloud Pak for Data - IBM's end-to-end data science platform

### Lead Automation Engineer @ MetLife
Jan 2019 – Jan 2019 | Cary, North Carolina
• Utilized IPcenter (IPsoft) as automation and integration platform to deliver cost savings solutions across application management space
• Drive proof-of-concepts of automation opportunities and identify gaps for production implementation
• Collaborate with app teams to develop automation for reducing cost and increasing stability
• Prototyped time series data visualization of bulk batch job run times with Python (Prophet)

### Infrastructure Software Engineer, AVP @ Credit Suisse
Jan 2014 – Jan 2019 | Raleigh-Durham, North Carolina Area
• Develop and support an operations centric tool suite for managing global infrastructure by providing health checks, disaster recovery event workflow, infrastructure data collection/integration, and performance/capacity analysis
• Led development of a time series visualization framework for analyzing bank-wide server infrastructure performance (JavaScript, SQL, SybaseIQ, InfluxDB, Grafana, Python)
• Integrate data from numerous data sources such as inventory systems, vendor tools, script outputs, network config files, databases, flat files, for analysis, visualization, and reporting
• web front-end,, back-end, database development using a combination of JavaScript, SQL, Apache, Perl, Oracle, Sybase IQ
• Initiated team process improvement in adapting Agile Kanban methodology for tasks prioritization (JIRA)

### Software Developer - DevOps @ BlackBerry
Jan 2012 – Jan 2012 | Cary, North Carolina
• Maintained code branches (Perforce) as part of the mobile application integration team
• Performed scheduled or on-demand integrations/rebases between main and 4 feature branches
• Ensured integration validity by actively communicating with developers to resolve merge conflicts
• Automated multi-device flashing (Java) and daily build-server status checks (Perl)


## Education
### Master of Science - MS in Analytics
Georgia Institute of Technology

### Master of Science - MS in Computer Engineering
North Carolina State University

### Bachelor of Science - BS in Electrical and Computer Engineering
North Carolina State University


## Contact & Social
- LinkedIn: https://linkedin.com/in/cstsui
- Website: https://www.linkedin.com/redir/suspicious-page?url=www%2ecstsui%2ecom

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Source: https://flows.cv/chunsingtsui
JSON Resume: https://flows.cv/chunsingtsui/resume.json
Last updated: 2026-03-22