Recent consulting projects, AI agent architecture design and deployment of artificial intelligence solutions.
AI Architect
- Senior member of the cross-org Architecture Committee spanning three engineering organizations. Own the AI platform track — RAG, agentic workflows, evals, and AI governance — and co-own multi-year platform strategy for systems powering 300+ enterprise clients and ~1M transactions per day at 99.95% uptime.
- Architected a real-time asset import pipeline with agentic AI — Event Hubs streaming ingest with agents automating data extraction, validation, and enrichment; low-confidence records route to human review.
- Built the LLM eval and release discipline — golden datasets, groundedness/citation checks, pre-rollout regression runs, Azure AI Content Safety, prompt-injection defense, PII redaction, human-in-the-loop approvals; zero compliance incidents.
- Standardized AI-assisted engineering across 65+ engineers — GitHub Copilot custom agents (GPT and Claude models) for planning, implementation, code review, bug fixing, and test generation.
Technologies: Azure Event Hubs, Azure AI Content Safety, RAG & Agentic Workflows, LLM Evals & Golden Datasets, GitHub Copilot (GPT/Claude Custom Agents), Prompt Injection Defense, PII Redaction, Human-in-the-Loop.
Multi-Agent Platform & End-to-End AI PoC Automation
- Architected a multi-agent platform that automated the end-to-end PoC lifecycle—from ideation and code generation to cloud deployment and value estimation—replacing manual delivery steps with agentic workflows.
- Built evaluation pipelines to benchmark AI feature quality against baselines, identifying and removing RAG components that degraded answer accuracy.
- Led AI delivery projects for top-tier financial, government, and consumer-brand clients, including AI agents, knowledge-graph solutions, RAG search, document intelligence, and enterprise chat and analytics tools.
- Established the standard AI PoC architecture and developed a reusable component library, reducing delivery time and enabling seamless reuse from PoC through productization.
Technologies: LangGraph, RAG Pipelines, AI Agents, Agentic Workflows, Multi-Agent Orchestration, Evaluation Pipelines.
AI Revenue Management & Machine Learning Architecture
- Designing 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 data, aviation-demand signals, and planned IATA data ingestion.
- Defining a hybrid AI architecture using Azure Machine Learning and LightGBM for demand forecasting, with Microsoft Foundry, Azure OpenAI, and Azure AI Search for LLM-based event enrichment and RAG-powered decision support.
- Establishing MLOps and GenAIOps controls, including temporal backtesting, model versioning, drift monitoring, RAG evaluation, and end-to-end tracing.
- Designing a .NET application layer with tenant isolation, pricing guardrails, human oversight, and 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, Azure Service Bus.
Enterprise Architect
Led target architectures, governance and AWS cloud transformation roadmaps for large enterprises.
Selected achievements:
- Defined target architectures and AWS transformation roadmaps aligned with business priorities and information-system constraints.
- Assessed application portfolios and defined cloud migration and modernisation strategies through adaptation, redesign or replacement.
- Designed and reviewed AWS architectures for security, resilience, performance and cost control.
- Defined cloud governance principles and architecture standards for deployments and exchanges between environments.
- Supported business, development and operations teams in architecture decisions and cloud adoption.
Environment:
AWS, Enterprise Architecture, Cloud Governance, Well-Architected Framework, Microservices, Security & Resilience
Lead Enterprise Architect
Oversaw enterprise-wide architecture coherence, application modernisation and the transition to cloud and hybrid infrastructure.
Selected achievements:
- Coordinated architects and project teams to maintain information-system architecture coherence.
- Defined roadmaps for application modernisation and infrastructure evolution towards cloud and hybrid environments.
- Assessed AWS adoption against application needs, security constraints and integration requirements.
- Defined interconnection principles between existing applications and new cloud services.
- Led architecture governance through design reviews, technology standards and documented decisions.
Environment:
Enterprise Architecture, AWS, Hybrid Architectures, Information-System Modernisation, Governance & Design Reviews
Software Architect
Designed modular, robust architectures for enterprise Java applications deployed on Linux.
Selected achievements:
- Designed Java application architectures on Linux with an emphasis on modularity and maintainability.
- Defined software components, interfaces and application-integration mechanisms.
- Addressed performance, security and availability requirements from the design stage.
- Supported development teams through design and code reviews, technical problem-solving and sharing good practices.
Environment:
Java EE, Linux, Software Architecture, Modularity, Systems Integration, High Availability
Senior Developer
Developed Java applications on Linux, optimised performance and supported production systems.
Selected achievements:
- Developed and maintained Java applications in a Linux environment.
- Translated functional needs into technical specifications and software components.
- Implemented tests, corrected defects and optimised performance.
- Contributed to releases, incident diagnosis and knowledge sharing within the team.
Environment:
Java, Linux, Unit & Integration Testing, Performance Tuning, Packaging & Deployment
