Merag Nokhiz

Systems Architect & Engineer

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Selected Works

Architectural Projects

An archive of architectural patterns, system designs, and large-scale migrations — focusing on resilience, scalability, and security within modern cloud ecosystems.

01
BBRAUN Cloud Systems Architect
2024 09/2023 – 11/2024

Enterprise Internal Development Platform (IDP) on Azure

Design and development of an Internal Development Platform (IDP) on Azure to empower teams with standardized, secure, and automated cloud-native application environments.

Enabled enterprise-wide developer self-service and standardized application delivery on Azure.

  • Cloud
  • DevOps
  • Platform
  • Azure
  • Security
  • Compliance
  • Automation
02
BBRAUN Cloud Systems Architect
2024 09/2023 – 11/2024

MedTech IoT Platform on Azure

Re-architected and migrated B. Braun’s MedTech IoT proof-of-concept into a scalable, secure, and production-grade Azure cloud platform for device data ingestion, analytics, and visualization.

Delivered a production-ready IoT cloud platform enabling secure device data ingestion and advanced analytics

  • Cloud
  • IoT
  • Azure
  • Architecture
  • Data
  • Security
  • Monitoring
03
BBRAUN Cloud Systems Architect
2024 09/2023 – 11/2024

Enterprise Azure Landing Zone Platform on Azure

Design, development, and operations of a secure and scalable Azure Landing Zone for enterprise-wide cloud enablement at B. Braun.

Established B. Braun’s enterprise Azure foundation for multi-team scalability, governance, and compliance.

  • Cloud
  • Architecture
  • Azure
  • Governance
  • Security
  • Compliance
  • Automation
04
ZEISS Senior Cloud / MLOps Engineer
2023 11/2022 – 08/2023

MLOps Inference MediTech Platform on Azure

Designed and developed a secure, compliant, and scalable MLOPS inference platform on Microsoft Azure to enable AI-powered decision support and intelligent medical applications at ZEISS Meditec.

Delivered a compliant, cloud-native MLOps platform for regulated medical AI workflows

  • Cloud
  • MLOps
  • AI
  • Azure
  • Data
  • Security
  • Compliance
  • Automation
05
ZEISS Senior Cloud / MLOps Engineer
2023 11/2022 – 08/2023

AI Kubernetes GPU On-Premises Cluster

Deployed and operated an on-premises GPU Kubernetes cluster for AI model training at ZEISS Meditec, enabling high-performance, cost-efficient, and secure AI research and experimentation.

Empowered AI R&D teams to train, deploy, and experiment with deep learning models on dedicated GPU infrastructure

  • Onpremise
  • Linux
  • MLOps
  • AI
  • Kubernetes
  • Data
  • Security
  • Automation
  • Monitoring
06
BMW Cloud Systems Architect • DevOps Engineer
2022 03/2021 – 11/2022

Delivery App, Cloud Architecture & DevOps Leadership on AWS

Led the cloud architecture and DevOps implementation for BMW’s Delivery App, a scalable AWS-based platform that optimized vehicle delivery operations and enhanced dealership efficiency.

Digitized and optimized BMW’s vehicle delivery process across global dealerships

  • Cloud
  • Architecture
  • DevOps
  • AWS
  • Data
  • Security
  • Monitoring
  • FinOps
07
BMW Cloud Systems Architect • DevOps Engineer
2022 03/2021 – 11/2022

eSignature Application on AWS

Architected and implemented a scalable, secure, and compliant AWS cloud solution for BMW Group’s eSignature platform supporting digital contract signing in the Future Sales Model.

Enabled paperless contract workflows across BMW’s digital ecosystem

  • Cloud
  • Architecture
  • DevOps
  • AWS
  • Security
  • Compliance
  • Automation
08
BMW Cloud Systems Architect • DevOps Engineer
2022 03/2021 – 11/2022

Emotional Virtual Experience (EVE) App on AWS

Architected and led the development of BMW’s Emotional Virtual Experience (EVE) platform on AWS — a GPU-intensive cloud solution generating photorealistic vehicle images and videos using Unreal Engine.

Automated production of high-quality visual content for BMW’s digital products and partners

  • Cloud
  • Architecture
  • DevOps
  • AWS
  • Data
  • AI
  • FinOps
  • Visualization