• Build trusted relationships with customer architects, engineering leaders, platform teams, security stakeholders, and account teams to shape technical direction.
• Translate complex platform capabilities and trade-offs into clear recommendations, reference architectures, implementation plans, and executive-level messaging.
• Coordinate architecture reviews and technical escalations with Microsoft product, engineering, support, and specialist teams.

• Design and review AKS architectures covering cluster topology, node pools, autoscaling, networking, identity, security, observability, and upgrade strategies.
• Guide on Azure Container Registry security, image distribution, private connectivity, and integration with AKS and delivery pipelines.
• Clarify architectural differences between Azure Functions, App Service, and Kubernetes-based workloads to support service-selection decisions.

• Define project, subscription, environment, governance, and deployment models for enterprise AI adoption.
• Advise on RAG, knowledge grounding, agent orchestration, model lifecycle, capacity planning, security, responsible AI, and cost optimization.
• Lead roadmap discussions relating new Foundry capabilities to existing Azure AI services; support escalations on model deployments and production-readiness.

• Advise on GitHub Enterprise governance, CI/CD, GitHub Actions, self-hosted and Kubernetes-based runners, identity, and organization design.
• Align developer platforms, cloud governance, automation, and software supply-chain controls with the customer operating model.
• Facilitate workshops on platform engineering, developer experience, reusable automation, and secure delivery.

Hybrid cloud-edge solution for theft detection in fashion retail, combining RFID, edge processing, cloud services, and Machine Learning.

• Designed the architecture using IoT Edge, K3s, Java, cloud/edge infrastructure, RFID, and an integrated ML model.
• Enabled store-level autonomy through local processing while retaining centralized management, scalability, and observability.
• Implemented MLOps workflows automating model training, validation, deployment, and lifecycle across environments.

IoT-driven platform improving stock management and store visit planning across distributed retail environments.

• Combined IoT Edge, K3s, cloud-edge integration, Machine Learning, and MLOps to support operational decisions.
• Designed ML pipelines to optimize stock distribution and enable centralized insights across multiple stores.

AI-powered agentic platform accelerating issue resolution across enterprise ticketing ecosystems.

• Implemented specialized agent orchestration using Python, Astral, Semantic Kernel, Cognee, and custom integrations.
• Integrated ServiceNow, Jira, GitHub Issues, and organizational documentation to produce contextual responses.
• Designed workflows for ticket understanding, knowledge retrieval, response generation, and coordinated resolution.

Internal and customer-facing solutions providing conversational access to organizational and enterprise knowledge.

• Built an internal knowledge management tool using Python, AutoGen, and Retrieval-Augmented Generation.
• Created a document-intelligence MVP for a logistics customer, integrated across multiple bounded contexts, and evolved it toward production.
• Reduced friction in onboarding, documentation discovery, and access to information across large document sets.

• Provided architectural and operational leadership for a large cloud-native transformation around vertical product teams; contributed to its Architecture Review Board.
• Contributed to CCOInsights (cloud cost & security dashboard), a documentation-based GitHub issue assistant, and an internal Industry Solutions portfolio catalog.

• Migrated on-premises lifecycle tooling toward cloud-based solutions.
• Introduced automation and DevOps practices that reduced release cycle time from 24–48 hours to 42 minutes.
• Supported organizational, cultural, process, and tooling changes to sustain faster, more reliable delivery.

• Defined an architecture blueprint covering service patterns, communication, persistence, bounded contexts, and platform integration.
• Collaborated on coexistence and migration strategies between legacy and modernized capabilities.
• Provided continuous coaching on cloud-native tech, agile engineering, architecture, and vertical product development.