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Curriculum vitae

Senior Platform Engineer (Integration & Reliability)

Cloud, Observability & Distributed Systems

Eindhoven, The Netherlands ·moc.liamg@letromdvd ·LinkedIn

Also:design and research portfolio ·publications ·biography

Profile

Senior engineer with 15+ years of experience designing, building and operating business-critical distributed systems in regulated environments.

Two things that rarely sit in one CV: the engineering that moves data, and the research that questions it. On one side, integration and data platforms, reconciling systems that disagree about the same entity and building the pipelines that carry the result. On the other, formal quantitative research conducted at Philips Research and published: study design, standardised instruments, significance testing.

Combines that with a strong focus on platform reliability, observability and operational excellence, and on enabling development teams through standardization, CI/CD practices and observability improvements.

Known for reducing system complexity, increasing reliability, and acting as escalation point for production-critical systems in high-volume environments.

Senior engineer focused on designing and operating reliable platform and data components in cloud environments, and on the analysis that decides what they should carry. Combines hands-on engineering with system reliability, observability and production operations.

Core expertise

Platform & Reliability

Observability & monitoring (Datadog, logging, tracing)
Incident response & root cause analysis
System reliability & failure handling in distributed systems
CI/CD pipelines & operational automation

Cloud & Infrastructure

Kubernetes-based platforms (AKS / EKS)
Azure integration services: Function Apps, Logic Apps, API Management, Service Bus, Event Grid, Event Hubs
Azure data and platform services: Cosmos DB, SQL Database, Blob Storage, Key Vault, DevOps
Infrastructure-related automation (CI/CD, deployment pipelines)

Integration & Distributed Systems

API design (REST, event-driven)
Middleware platforms (MuleSoft, IBM IIB/ACE)
Integration patterns & asynchronous messaging

Data and Analysis

Data integration across systems with conflicting models of the same entity
Pipelines feeding analytics and AI workloads downstream
Operational reporting and the questions it has to answer
LLM and agent integration with enterprise data sources
Quantitative user research: study design, questionnaires, significance testing

Engineering Enablement

Platform standardization & reusable components
Improving developer experience and delivery consistency
Technical coaching and escalation support

Key achievements

Supported an integration landscape serving 700+ retail locations and €9B+ revenue flows
Delivered systems supporting 3.5M+ users in a regulated healthcare domain
Achieved 99.9%+ availability on business-critical integration services
Reduced delivery lead time by ~60% through standardization and reusable components
Executed zero-downtime migrations from ESB to API/event-driven architectures
Improved observability and failure handling across distributed systems
Acted as technical escalation point across multiple teams and domains

Experience

SPECTR B.V.

Integration & LLM Engineer · May 2026 – present · Employed

SPECTR is a specialist firm in AI, data integration and cloud, "an independent authority in data, AI & integration", working across retail, logistics, energy, finance, manufacturing and healthcare, where compliance and scale both matter. The consulting work continues here: SPECTR is the employer behind the current engagement.

The work:

Designing and building API and integration solutions inside enterprise AI and integration landscapes
Analysing business and information needs and translating them into technical solution directions
MuleSoft services, REST API contracts and RAML specifications
Python components for document processing, LLM integration and prompt orchestration
Integrating LLM and agent functionality with enterprise services, SharePoint and other data sources
Deploying, operating and troubleshooting workloads on Azure Kubernetes Service
Aligning with developers, architects, platform teams and stakeholders on requirements, quality and implementation

Results:

Built sensitive information masking for safe handling of data inside an enterprise AI platform
Contributed to an end-to-end LLM solution migrating legacy standard operating procedures into SAP S/4HANA-conforming work instructions
Improved API specifications and integration flows for deployment in enterprise environments
Joined SharePoint, AKS and LLM services into an automated document-processing chain

Current engagement, details on request

Senior Integration Engineer

Conclusion Integration · Nieuwegein · 2019 – 2026

Enterprise and public-sector organisations operating business-critical integration landscapes in regulated environments (retail, insurance, public administration).

Owned and operated core integration services connecting legacy systems with modern cloud platforms
Designed and implemented ESB- and API-based integrations using IBM IIB / ACE and AIS
Built and operated cloud-native integration components and supporting microservices in Azure and AWS
Improved delivery reliability through CI/CD automation, structured logging and operational hardening
Acted as technical escalation point and advisor for production incidents across distributed systems
Introduced standards and reusable templates to improve team delivery speed and consistency
Collaborated with internal and external developers to improve implementation quality and reduce rework

Selected client engagements: Conclusion Integration

CZ Zorgverzekeraar, Major health insurance provider

Integration Engineer (DevOps focus) · Jul 2025 – Dec 2025

Integration services supporting healthcare claims, policy administration and provider billing for ~3.5M insured members under strict GDPR and healthcare regulations.

Operated and stabilised integration services in a highly regulated insurance environment
Executed migration of MQ-based integrations toward API-driven implementations using Azure APIm
Improved scalability and reliability of integration services, enabling more stable API consumption
Improved delivery reliability by aligning CI/CD practices with DORA principles
Strengthened monitoring and diagnostics, reducing incident resolution time

Technical environment: IBM ACE, Azure Integration Services, Azure API Management, event-driven messaging, CI/CD pipelines, monitoring & logging

CAK (Centraal Administratie Kantoor), Public-sector agency, healthcare administration

Integration Engineer · Nov 2024 – Apr 2025

Public-sector integration landscape characterised by complex data flows, governance constraints and long-lived production systems.

Developed and operated integrations within a governed public-sector environment
Worked with asynchronous messaging and external system integrations while maintaining production stability
Contributed to integration standardisation and platform evolution within agile delivery constraints
Contributed to improving integration consistency within a multi-team environment

Technical environment: MuleSoft (maintenance), asynchronous messaging, public-sector integration platforms

Jumbo Supermarkten, The Netherlands' second-largest retailer

Senior Integration Engineer · Apr 2019 – Jul 2024

Supported the integration layer connecting 700+ retail locations, the e-commerce platform and distribution centres processing €9B annual revenue.

Owned and operated a business-critical integration landscape supporting high-volume retail operations (700+ locations, €9B+ flows)
Designed and operated event-driven microservices (Node.js on Kubernetes) processing 100k+ messages/day in a high-availability setup
Used Datadog and structured logging for monitoring, alerting and troubleshooting production systems
Acted as technical escalation point for production incidents, performing root cause analysis across distributed systems
Contributed to improving observability, failure handling and incident response in a complex production environment
Supported incremental migration from a monolithic ESB to cloud-native, API-driven platform architecture

Technical environment: IBM IIB/ACE, Node.js (Fastify) on AWS EKS and Azure AKS, Terraform, GitHub Actions. Azure: Function Apps, Logic Apps, API Management, Service Bus, Event Grid, Event Hubs, Storage queues, Cosmos DB, SQL Database, Blob and Disk Storage, Key Vault, DevOps

Earlier experience

Interaction design, UX engineering and web development (1999–2016); first exposure to system integration challenges
Technical prototyping and support in academic environments (TU/e, Department of Industrial Design, 2016–2019)
Foundation in user–system interaction informing reliable interface contracts and integration design
Worked with external developers and improved delivery consistency across teams through alignment and guidance

The years before 2019 are the design and research half of this CV. They are set out project by project in the portfolio and in order on the timeline.

Technical highlights

Designed and operated business-critical integration platforms in retail, insurance and public-sector environments
Ran IBM ESB landscapes and executed zero-downtime migrations toward API- and event-driven architectures
Built cloud-native integration components and microservices on Azure and AWS (Node.js, Kubernetes)
Enabled scalable API ecosystems and data pipelines used by downstream analytics and AI workloads
Implemented event-driven pipelines processing 100k+ messages/day with high availability requirements
Established CI/CD automation, structured logging and operational guardrails to improve reliability
Built a Node.js microservice boilerplate on AWS EKS for a development team to work from
Acted as technical escalation point for production incidents across distributed systems
Implemented and used observability tooling for monitoring, alerting and production diagnostics in distributed systems
Contributed to improving observability and incident response using structured logging and monitoring tools
Worked effectively under regulatory and governance constraints (GDPR, healthcare, public sector)
Designed integration architectures enabling data flows between enterprise systems and AI/analytics platforms
Reconciled product and price data held across systems that were never designed to be read together, into one consistent view
Ran quantitative user research at Philips Research, comparing laboratory against remote testing across four standardised questionnaires

Cloud & AI platform knowledge: Azure Integration Services · Azure API Management · Event-driven architectures · Kubernetes platforms · AI/LLM API integration patterns

Education & certifications

2006 – 2008PDEng, User-System Interaction
Eindhoven University of Technology, faculty of Industrial DesignPost-master programme of the Stan Ackermans Instituut (3TU), training technical designers to the degree of Professional Doctorate in Engineering. Assignments of one to three weeks in international, multidisciplinary teams led by international experts in Human-Computer Interaction, across User Experience, Interaction Technology, User Interface System Technology, Understanding User Needs and Evaluation Methodologies.
1992 – 1997Technical Analyst, laboratory sciences in technical microbiology
Middelbare Laboratorium Opleiding (TLE), EindhovenThe qualification is named Technisch Analyst: measurement, method and controlled experiment, with internships at the Microbiology and Evolutionary Biology department of Nijmegen and at RIKILT-DLO in Wageningen.
2002 – 2003European Multi Media Master of Arts, Interactive Multi Media
Utrecht School of the Arts (HKU) and The Open UniversityThesis "Gaming with feeling" (NL: "Spelen op gevoel"), on the influence of tangible feedback in computer games: the fusion of software with physical hardware.
1999 – 2003Bachelor of Art and Technology, with Honours: Interaction Design
Utrecht School of the Arts (HKU), faculty of Art, Media and TechnologyThe first programme in the Netherlands to teach professional interaction design. Graduation projects: the ApartGame console and the ScratchWorx VJ/DJ mixer.
2025MuleSoft Certified Developer, Level 1
2024Microsoft Azure Fundamentals (AZ-900)

Approach

Integration approach

Contract-first API design with explicit failure modes
Event-driven patterns for loose coupling in distributed systems
Observability built in from the design phase
Incremental migration strategies minimizing operational risk
Data pipelines designed for analytics and AI consumption

Technical leadership

Acted as escalation point for production incidents
Owned integration standards and patterns across teams
Reviewed and challenged integration designs on reliability, operability and failure handling
Mentored engineers on ESB to cloud migration

Selected integration challenges resolved

Prevented cascading failures by isolating partner outages
Migrated legacy ESB flows without business downtime
Reduced incident MTTR via structured logging and tracing
Stabilized high-volume retail and healthcare message spikes

Background in Human-Computer Interaction (PDEng, TU/e) informs an integration design philosophy: treating system interfaces as interaction contracts with explicit expectations, failure modes and error handling. This cross-disciplinary approach results in integration layers that are maintainable, debuggable and resilient under real-world operational conditions.