Kevin Tan, Cloud Solutions Architect

About Me

I am a Singapore-based cloud architect and engineering leader with 17+ years of experience building enterprise systems that scale and continue operating when things go wrong. My career spans high-availability platforms, distributed systems, and cloud-native architectures in mission-critical environments. I believe the best leaders stay hands-on, close to the code, the architecture, and the people. Recently, I have been exploring how AI agents can safely interact with real enterprise systems, moving beyond demos into production-ready integrations.

Experience

Deputy R&D Director

GDC Technology • Jan 2022 - Present

  • • Directed architecture and industry acceptance of Digital Cinema Enterprise Software Solutions, sustaining GDC leadership in the digital cinema space.

  • • Led and mentored a distributed team of more than 10 engineers across two regions, improving delivery efficiency by 20 percent and developing future senior leaders.

  • • Architected and owned AWS serverless service platforms supporting mission-critical operations, achieving 50 percent scalability improvement and reducing operational overhead by 40 percent.

R&D Management Roles

GDC Technology • Jan 2013 - Dec 2021

Titles held: Senior R&D Manager, R&D Manager, Deputy R&D Manager

  • • Built and scaled cross-functional engineering teams during periods of rapid organizational growth.

  • • Acted as technical liaison with industry standards bodies and strategic customers, aligning product direction with evolving requirements.

  • • Led design and delivery of second-generation Theatre Management System (Cinema Automation 2.0), modernizing cinema operations.

  • • Introduced modern SDLC practices including Git-Flow, JIRA, Confluence, and Kanban, reducing development cycles by 30 percent.

R&D Engineering Roles

GDC Technology • Jul 2007 - Dec 2012

Titles held: Senior R&D Engineer, R&D Engineer

  • • Designed and delivered first-generation Theatre Management System deployed across large cineplex environments.

  • • Developed electronic cinema playback systems with HDCP security compliance and high reliability requirements.

Software Engineer

Cyberlink • Jun 2006 - May 2007

  • • Developed multimedia software solutions in Python, C++, and DirectShow for global OEM partners including HP, Dell, and NEC.

Education

National Taiwan University

Bachelor of Science (BSc) Computer Science • Jun 2006

Certifications

AWS Certified Solutions Architect - Associate
Issued April 2024 · Expires April 2027

Technologies

Experienced engineering leader with deep expertise in cloud architecture, enterprise SaaS platforms, and modern software development practices. Strong hands-on background in AWS, serverless computing, distributed systems, and AI integration. Proven track record leading teams, modernizing legacy platforms, and delivering reliable systems in mission-critical environments. I focus on building technology that is practical, scalable, and operationally sound.

Skills & Tools

Core Strengths:

AWS Architecture Serverless Solutions IaC (CloudFormation) Security & Compliance Cost Optimization Distributed Systems Observability AI Integration Developer Tooling API Design
Software Development
Python Django C/C++ PostgreSQL API Design & Integration
Cloud & DevOps
AWS Serverless Framework (IaC) CI/CD (GitHub Actions)
Practices
Agile Methodologies/Kanban AWS Well-Architected Framework Performance Tuning
Domains
Digital Cinema/DCI/SMPTE Software Product Management
AI & Integration
Model Context Protocol (MCP) FastMCP Framework AI Agent Integration

Patents

System and method for providing failover of storage for digital cinema broadcasting
US 10,798,427 B2 · Issued: October 6, 2020
System and method for cinema play memory failover
CN 107743245 B · Issued: July 24, 2020

Portfolio

Redmine MCP Server

AI Integration & Developer Tools

Summary:

Production-ready Model Context Protocol server enabling AI assistants to interact with enterprise Redmine systems with strong security and operational guarantees.

Highlights:

  • • Built production-ready MCP server using FastMCP, enabling AI agents to manage enterprise project workflows programmatically.

  • • Implemented secure authentication supporting API keys and credential-based access with automatic session handling.

  • • Designed modular architecture with testing and Docker-based deployment for scalable production use.

  • • Implemented secure file handling with automatic expiry and cleanup for enterprise compliance.

  • • Published to PyPI with full documentation to support community adoption.

Tech Stack:

Python FastMCP MCP Docker Redmine API PyPI Security

Photos