TRUONG Huu-Huy — Lead Enterprise, Data & AI Architect

HIGHLIGHT

20+

Years Experience

Cloud & Data Agentic AI & LLM Enterprise Arch.

PROFESSIONAL SUMMARY

Enterprise, Data & AI Architect with over 20 years of experience across public-sector, financial-services and consulting environments. Designs cloud-native data and integration platforms, from enterprise analytics, data lakes, data warehousing, Master Data Management and governance to Machine Learning and Deep Learning experimentation and Agentic AI integration. Connects Azure and AWS data platforms with AI pipelines spanning Machine Learning and Deep Learning experimentation, training and evaluation, multi-agent workflow orchestration, and multi-agent architectures for software development pipelines. Focuses on connecting data, models, agents and enterprise tools through APIs, MCP and event-driven integration to support coordinated AI workflows.

🎓 EDUCATION

2004 — INSIA Engineer

Master’s Degree with a specialty in network, telecommunications and security

📜 CERTIFICATIONS

PECB ISO/IEC 42001 Lead Implementer	2026
PyTorch for Deep Learning	2026
AWS Certified Machine Learning	2021
AWS Certified Analytics Specialty	2020
Microsoft Certified Azure Solution Architect	2020
Microsoft Certified Trainer (.NET)	2013
Microsoft Certified Solutions Developer	2011
Microsoft Certified Database Administrator	2008

🌐 LANGUAGES

French: Native|English: Fluent|Vietnamese: Mother Tongue

⚡ KEY SKILLS & EXPERTISE

06 DOMAINS

AI focusCore expertiseToolset

Technology Expertise

Agentic AI Advanced MCP · Multi-Agent · LLM

Microsoft Azure Expert Data/Solution · Infra/IAM

AWS Proficient Data, Analytics & ML

Data & AI Architecture

Enterprise Analytics PlatformsData LakesData WarehousingMachine Learning / Deep Learning Proofs of ConceptPyTorchLoRAHugging FacespaCyMLflowW&BData QualityData GovernanceGDPRBig Data ArchitectureMaster Data Management

Agentic AI & Enterprise Integration

Agentic AI Service HubEnterprise Knowledge AssistantsMCPLangGraphRAGHermesAzure AI FoundryDSPyMuleSoftEDAKafkaESBIntegration Governance

Data Platforms & Engineering

Azure Synapse AnalyticsAzure DatabricksApache SparkAzure Data FactorydbtPythonAirflowSSISPower BIQlikAWS AthenaDynamoDBAzure SQL HyperscaleSQL ServerOracle

Cloud & Platform Architecture

Azure Landing ZonesAKSRed Hat OpenShiftKubernetesTerraformMulti-tenant SaaS ArchitectureIAM

Enterprise & Solution Architecture

TOGAFArchiMateBizzDesignOrbus iServerSparx Enterprise ArchitectUMLBPMNArchitecture Review BoardsArchitecture GovernanceHigh-Level DesignSolution Blueprints

Software & Integration Patterns

.NET / .NET CoreREST APIsCQRSEvent SourcingSAGAMicroservicesMessage BrokersDevOpsContinuous IntegrationGoFMVCMVPDependency Injection

Industry sectors

Public Sector & Smart City
EU Institutions
Financial Services (CIB)
Consulting & Audit
Retail, E-commerce & Media

Leadership & Delivery

Architecture Review Board
RFP & supplier assessment
Partner & vendor steering
Onshore / offshore teams
Stakeholder roadmaps

✨AI & AGENTIC AI — ADVISORY, COACHING & LEADERSHIP

Selected recent advisory assignments and hands-on leadership in enterprise Generative & Agentic AI implementations.

RevNLabs - Property Management System

6 months · Part-Time

AI & Data Architecture — Predictive Pricing & Revenue Intelligence

Architecting an AI-powered revenue management service for a multi-tenant property management SaaS, combining demand forecasting, market intelligence and constrained pricing recommendations for short-term rentals.
Designing data pipelines integrating booking history, reservation pace, seasonality, geospatial event databases and aviation-demand signals, with planned IATA data integration through dedicated ingestion adapters.
Defining a hybrid AI architecture combining Azure Machine Learning and LightGBM for demand forecasting with Microsoft Foundry (Azure AI Foundry) and Azure AI Search for LLM-based event enrichment and RAG-powered decision support grounded in model outputs and contextual evidence.
Establishing MLOps and GenAIOps controls covering temporal backtesting, model versioning, drift monitoring, RAG quality evaluation and end-to-end tracing.
Designing a .NET application layer enforcing tenant isolation, pricing guardrails and human oversight, with asynchronous, retry-safe rate publication through provider-independent Channex adapters.

Technologies: .NET/C#, Python, LightGBM, Azure Machine Learning, MLflow, Microsoft Foundry, Azure OpenAI, Azure AI Search, PostgreSQL/PostGIS and Azure Service Bus.

Kasko2Go AI

12 weeks

Machine Learning / Deep Learning

Led ML/DL research and built end-to-end pipelines, from data preparation (Polars, DuckDB, ETL, EDA) to model training and fine-tuning in PyTorch, starting from gradient boosting and pretrained models as baselines. Optimized hyperparameters with Bayesian search (Optuna, Ray Tune), tracked experiments with MLflow and W&B, and validated results through statistical hypothesis testing to support business decisions.

Technologies: Python, PyTorch, scikit-learn, XGBoost/LightGBM, Polars, DuckDB, Optuna, Ray Tune, MLflow, W&B, DVC.

Confidential - Startup in Financial Regulatory Compliance

12 weeks

Natural Language Processing

Developed LLM-powered NLP solutions for NER, text classification and sentiment analysis, using zero-/few-shot approaches (LLMs, GLiNER, SetFit) and spaCy.
Distilled LLM-labeled data into lightweight fine-tuned encoders (DeBERTa, ModernBERT) for low-cost inference, applied systematic prompt engineering with evaluation datasets (DSPy), and maintained over 70% test coverage with automated output evaluation (Python, PyTorch).

Technologies: Python, PyTorch, Hugging Face Transformers, LLMs, spaCy, GLiNER, SetFit, DSPy.

💼 PROFESSIONAL EXPERIENCE

Brussels-Capital Region — Paradigm (CIRB)

November 2023 — Present

Lead Integration Architect

↳ Solution Architect (February 2023 — November 2023)

Architecture lead for integration, data flows and shared platform services within WePulse, a €70M multi-tenant SaaS transformation programme serving the municipalities of the Brussels-Capital Region.

Main responsibilities:

Defined the integration and data-flow architecture for a regional multi-tenant SaaS platform, leveraging MuleSoft for enterprise service orchestration, alongside Kafka, Airflow and Azure Synapse.
Designed AIoT integration architecture for Parking and PoliceZone initiatives.
Architected Identity Governance and Administration (IGA), tenant isolation and access-control patterns supporting GDPR compliance.
Led ELK migration from on-premises to managed SaaS, integrating Kafka event streaming for scalable observability and data exchange.
Designed cloud landing zones and assessed risks and mitigation strategies for data-centre migration, ensuring enterprise architecture alignment.
Established architecture governance, target operating models and reusable integration standards; served as a permanent Architecture Review Board member.
Led implementation partners, subcontractors and technology providers across architecture and delivery phases.

Environment: BizzDesign, ArchiMate, Azure Synapse, Azure Entra ID, MuleSoft, Airflow, Kafka, Azure Landing Zones, Hub-and-Spoke, Red Hat OpenShift, AKS, Terraform, ELK, Dynamics 365 F&O, SharePoint, Confluence

City of Brussels — i-CITY

April 2021 — February 2023

Cloud Solution Architect — Data & Digital Platforms

Led cloud, data and application architecture for digital-transformation programmes, including SmartBuilding initiatives, supporting the City of Brussels and its public institutions.

Main responsibilities:

Led architecture of the Dynamics 365-based CMMS (GMAO), integrating Azure Synapse and BI, with data integration patterns leveraging dbt, Python and WSO2.
Designed IoT integration architecture for Smart Building initiatives.
Architected Genesys–Dynamics 365 integration, connecting customer-interaction channels with CRM workflows and data.
Re-architected BruCity document management, strengthening lifecycle governance, access controls and GDPR compliance.
Designed digital-signature architectures aligned with eIDAS requirements.
Led solution architecture for digital initiatives serving public educational institutions.
Defined Cloud, application and data architecture blueprints; advised stakeholders on standards, risks and roadmaps.
Produced HLDs and technical RFPs, and evaluated supplier proposals for cloud and digital-platform initiatives.

Environment: PRINCE2 Agile, Orbus iServer, ArchiMate, Azure, Microsoft 365, Azure Synapse, dbt, Python, Dynamics 365, Azure DevOps, Power Apps, EDM, EDRMS, WSO2 ESB, Intune, VMware, IAM, Azure AD B2C, Azure Virtual Desktop

European Commission — DIGIT C1 Cloud Broker

March 2020 — April 2021

Cloud Solution Architect / Data Science & AI Advisor

Advised European Commission departments and institutions on cloud, data science, Machine Learning and large-scale data-platform architectures across Azure, AWS and OVH environments.

Main responsibilities:

Served as Lead Data Science & Cloud Advisor for the Joint Research Centre, guiding architecture, technology selection and multi-cloud strategies across Azure and AWS.
Designed and delivered ML/DL proofs of concept, evaluating HPC architectures for compute-intensive workloads.
Architected Big Data and analytics platforms leveraging Azure Synapse, Databricks, Apache Spark, AWS Athena, DynamoDB and Azure SQL Hyperscale.
Implemented distributed data-processing and BI solutions using Spark, Synapse, Power BI and Qlik.
Advised technical teams on workload placement, cloud-service selection and scalable data architecture patterns.

Environment: Azure, AWS, OVH, Azure Synapse, Azure Databricks, Apache Spark, DynamoDB, AWS Athena, Azure SQL Hyperscale, Power BI, Qlik, HPC, AKS, ELK, Dynatrace, Azure Virtual Desktop

PwC PricewaterhouseCoopers

November 2018 — March 2020

Cloud Solution Architect — Enterprise Data & Analytics

Contributed to the redesign of PwC’s Enterprise Analytics Platform, establishing governed and scalable data foundations for advanced analytics, data science and Machine Learning use cases.

Main responsibilities:

Defined target architectures for Enterprise Data Warehousing, MDM and governed Data Lakes, supporting BI and MVOT/SSOT.
Designed secure data ingestion, integration and access patterns, ensuring GDPR compliance across cloud and on-premises environments.
Contributed to the One ID programme, consolidating multi-cloud and on-premises IAM capabilities.
Delivered an Azure Data Factory and Databricks PoC for modern cloud data pipelines.
Produced HLDs for enterprise migration and modernisation on Microsoft Azure.

Environment: TOGAF, Azure, Azure Databricks, Azure Data Factory, GCP, Ping Identity, Kubernetes, Docker, Enterprise Architect, Data Science, Machine Learning

BNP Paribas — Corporate & Investment Banking

November 2016 — November 2018

Solution Architect / Technical Lead — Enterprise Analytics & Data

Designed and modernised the Enterprise Analytics Platform supporting Business Intelligence activities within BNP Paribas CIB’s Post-Trade department.

Main responsibilities:

Defined Data Warehouse architecture for Post-Trade analytics and BI, establishing MDM, Enterprise Data Quality standards.
Architected and modernised application & data integration within the bank’s EAI ecosystem, leveraging APIs, SQL Server, Oracle and .NET.
Industrialised software delivery through DevOps, CI and BNP Paribas’s Quality Assurance Plan.
Provided technical leadership, coaching and coordination across onshore, offshore and outsourced teams.

Environment: SQL Server, SSIS, Oracle, .NET Core, Web API, Angular, Redis, CQRS, Enterprise Architect

⚙️ Earlier Career History

YSoft (Prague) | .NET Technical Lead | September 2013 — November 2016

Led .NET architecture and development for print-management solutions.
Defined engineering standards and continuous integration with TeamCity.
Produced technical specifications and reusable application foundations.

Europ Assistance | Architecture Auditor | February 2013 — September 2013

Supported global IPBX/IVR consolidation across the group’s subsidiaries.
Designed RabbitMQ messaging proofs of concept and assessed ININ integration.
Harmonised application and infrastructure integration across countries.

Edenred (Accor Services) | .NET Architect | July 2010 — January 2013

Defined modular architectures and shared development standards for deployment in 40 countries.
Designed RabbitMQ-based microservices and payment solutions in a PCI-DSS environment.
Led a six-person bulk-printing project team and coached onshore and offshore developers.

FNAC Éveil et Jeux | .NET Architect | February 2008 — July 2010

Architected e-commerce, checkout and marketplace components integrated with Generix ERP.
Designed high-availability systems tested at 20,000 orders/hour and self-service kiosks for 42 stores.
Established .NET development standards and coached internal and external teams.

LeKiosque.fr | .NET Consultant & Auditor | January 2008 — February 2008

Assessed technical feasibility for a digital-publishing start-up’s fundraising.
Designed ASP.NET applications, PDF content extraction and SQL Server full-text search.

Vente-privée.com | .NET Architect / Senior Developer | May 2007 — December 2007

Redesigned checkout and multilingual services for an e-commerce platform operating in five countries.
Designed database models and caching for a site supporting over 10,000 simultaneous connections.

MSN France | .NET Development Engineer | May 2006 — May 2007

Developed MSN Politique and event websites, including high-availability architecture.
Built editorial back-office tools and automated AFP/Europe 1 news-feed integration.

CREANCIA / DS GROUP | .NET Developer / IT Manager | January 2004 — October 2005

Managed a five-person IT team and modernised the company’s debt-monitoring application.
Led C#/.NET development, relational data modelling and legacy-data migration.
Oversaw infrastructure, security and IT/telecom suppliers.

Capgemini Ernst & Young (client: L’Oréal) | System Administrator / Unix Developer | January 2003 — December 2003

Contributed to applications supporting L’Oréal factories worldwide within a 40-person team.
Developed HP-UX tools using KornShell and Perl, and worked with PVCS and INGRES II.
Assessed Windows Server deployment for load-balanced web applications.