Mohammad Reza
Yaesubi
Senior DevOps Architect · AI & LLM Systems
15+ years building enterprise-scale platforms across telecom, healthcare, and SaaS. Currently bridging deep cloud & DevSecOps expertise with hands-on AI/LLM engineering and MLOps — from RAG pipelines to agentic systems in production.
The Full Picture
Senior DevOps Architect with 15+ years designing, building, and operating enterprise-scale cloud and hybrid platforms across telecom, healthcare, and SaaS environments. Deep hands-on expertise in the Microsoft ecosystem — Azure DevOps, .NET, Azure CI/CD, and Infrastructure as Code.
In parallel, intentionally upskilling in Applied AI, LLM Engineering, and MLOps, with a strong emphasis on production-oriented system building. My AI work builds directly on my platform background: reliability, security, governance, and lifecycle management first.
Currently serving as CTO – Applied AI & LLM Systems at Cavosh Innovation while continuing as Senior DevOps Architect at Bell Canada. B.Sc. Software Engineering, Sharif University of Technology.
Work Experience
Senior DevOps Architect
Current- Architect enterprise-scale Azure and hybrid platforms using Azure DevOps, Kubernetes, and OpenShift.
- Design and operate CI/CD pipelines for .NET, Java, and TypeScript applications deploying into on-prem environments.
- Containerise and deploy enterprise chatbot platforms (Rasa) on OpenShift, integrated with enterprise systems.
- Implement DevSecOps practices — embedding security, policy enforcement, and compliance into delivery pipelines.
- Build and manage Infrastructure as Code platform engineering.
- Mentor engineers and architects on cloud-native architecture, platform reliability, and secure delivery.
CTO — Applied AI & LLM Systems
Current- Build LLM-powered applications using prompt engineering, orchestration, and agentic patterns.
- Implement RAG pipelines with document ingestion, embeddings, and vector retrieval.
- Apply MLOps fundamentals for experimentation, versioning, deployment, and operational monitoring.
- Designed voice-enabled AI chatbot on edge hardware (Raspberry Pi), optimised for CPU-only environments.
- Develop AI workflows primarily in Python, following modular, production-oriented design principles.
Azure Developer / Architect
- Designed and built a cloud-based platform on Azure to provision client sensor portfolios and deliver analytical insights.
- Implemented software-defined virtual networks ensuring tenant isolation between production and development.
- Integrated third-party services via push/pull APIs using Azure Functions.
- Automated deployments with ARM templates and PowerShell; established CI/CD pipelines in Azure DevOps.
- Designed identity and authentication (OpenID Connect, Identity Server, Okta/SAML2 SSO).
ALM Consultant / DevOps Practitioner
- Coached teams through ALM, Continuous Integration, Continuous Delivery, and Test Automation.
- Designed CI/CD pipeline using Microsoft Release Management for Bell’s Service Call Centre (Blueprint Infinite).
- Designed and implemented a comprehensive CGI Microsoft ALM Lab (8 physical servers).
Technical Architect
- Designed greenfield Web 2.0 solutions and reverse-engineered brownfield SOA ecosystems.
- Contributed to ALM best practices across multiple disciplines and delivery teams.
- Reviewed RFPs, contributed to proposal development and solution presentations.
Team Lead / Architect
- Led discovery meetings across organisational levels to define optimal solutions.
- Designed architecture at conceptual, logical, and physical levels with threat-risk assessments.
- Applied Domain-Driven Design (DDD) and Test-Driven Development (TDD) principles.
Senior C++ / .NET Developer
- Designed a multithreaded client/server app processing dual audio/video streams in real-time (MS Visual C++, DirectX 9.0).
- Built web client and Windows server applications for closed captioning/V-chip broadcast.
Skills & Technologies
AI & Machine Learning
Cloud & Infrastructure
DevSecOps & CI/CD
Development & Architecture
Certifications & Education
Professional Certifications
Education
Continuous Learning — AI Track
Applied AI Projects: Built and deployed a RAG knowledge base to Azure. Evaluated LLM models across leaderboards for production use cases. Designed AI-powered chatbots and voice agents on edge hardware.
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