Web engineering
Building and maintaining accessible, dependable web experiences and content platforms.
Universiti Teknologi Malaysia
Mohd Sharul Hafiz
bin Razak
Senior IT Officer · Pegawai Teknologi Maklumat Kanan
Office of Strategy and Global Eminence (SAGE) · Jabatan Canseleri
Engineering university web platforms, infrastructure and AI-driven digital services.
I work across web engineering, platform operations, digital governance and AI-assisted automation to help build and operate reliable university digital services.
Technology meets institutional impact.From platform operations to digital strategy.
01 / About
Web platforms, governance
& digital strategy
A hands-on technology role spanning the services, systems and practices behind university digital experiences.
I have been with Universiti Teknologi Malaysia since graduating with a Bachelor of Science in Computer Science in 2009. My work has grown from web development into the engineering and operation of university-facing digital platforms.
My areas of work include website development and maintenance, web governance, performance, webometrics, infrastructure operations and security. I am also exploring AI-assisted and automation-driven approaches to improve how digital services are built and supported.
I bring together practical systems work and an interest in institutional digital strategy: understanding the infrastructure behind a service while keeping its usability, governance and wider purpose in view.
02 / Expertise
Four connected areas of practice
A mix of platform engineering, operational reliability, intelligent systems and digital governance.
Infrastructure & DevOps
Platform operations, deployment patterns, troubleshooting and service reliability.
AI & automation
Exploring conversational systems and agentic workflows for practical digital services.
Governance & strategy
Connecting web quality, institutional goals, measurement and sustainable practices.
03 / Selected work
Projects & platforms
University-facing services and platform work. The descriptions focus on the purpose of each service; detailed implementation notes can be added as case studies.
Public-facing project links are provided where available.
Publishing platform01
UTM News Hub ↗
Central university news portal for publishing, curating and distributing news to the wider public.
Portfolio focus: web platform operations, publishing experience, performance and governance.
Web platformsContent operationsGovernance
Directory service02
UTM Staff Directory ↗
Searchable official directory that helps users discover staff information across the university.
Portfolio focus: searchable information, data integration and content accuracy.
SearchData integrationWeb UX
Structured content03
UTM Events Calendar ↗
Central calendar for university events, supporting discovery and reuse of event information across web properties.
Portfolio focus: structured event data and cross-site content distribution.
Event dataContent integrationWeb platforms
Media archive04
UTM Photo Gallery ↗
Curated visual archive of university life supporting institutional communications and branding.
Portfolio focus: media discovery, visual storytelling and content presentation.
Media libraryContent designCommunications
Infrastructure05
UTM Web Platform Fleet
Shared web operations across university sites, including deployment, security, performance tuning and monitoring.
Portfolio focus: containerised deployment patterns, routing, shared services and operational visibility.
DockerReverse proxyMonitoringAutomation
Applied AI06
AI-assisted digital services
Exploration of chatbot architecture and agentic workflows for university information and service processes.
Portfolio focus: orchestration, knowledge sources, tool integration and responsible automation.
Chatbot architectureAgentic workflowsKnowledge systems
Project summaries describe service purposes and relevant areas of work. Add specific personal contributions, technologies and measured outcomes only where they can be verified.
04 / Systems thinking
Architecture, made visible
Technical diagrams help explain the systems behind the services—not just the tools used to build them.
These are illustrative conceptual diagrams, not verified as-built infrastructure diagrams.
Request and service flow
A simplified view of how a web request can travel through platform layers.
Case-study opportunity: routing, deployment boundaries, shared services, bottlenecks and monitoring.
Assistant and knowledge flow
A high-level pattern for a chatbot that uses models, knowledge and approved tools.
Case-study opportunity: permission boundaries, retrieval quality, human approval and tool execution.
06 / Contact
Let's build better digital services.
Open to professional discussions and collaboration around university web platforms, digital governance, infrastructure, AI services and knowledge sharing.