Mohamad Samra

Cloud Architecture Engineer

Building Azure cloud infrastructure, CI/CD workflows, observability systems, and production-ready AI platforms.

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Mohamad Samra

Name: Mohamad Samra

Profile: Cloud Architecture Engineer / Senior Full Stack AI Engineer

Email: mohamad.i.samra@gmail.com

Phone: +359 877 767 883

CV: Download CV

Core stack

Cloud: Azure, AKS, App Service, PostgreSQL, Redis, Key Vault, Storage, Azure Monitor, App Insights, Log Analytics, Managed Grafana

DevOps: Terraform, GitHub Actions, Azure DevOps, Docker, Kubernetes, CI/CD, secrets, migrations, branch-based deployments

AI and data: OpenAI, Azure OpenAI, realtime chat, WebSocket systems, PostgreSQL, ClickHouse, Mixpanel, MongoDB, SQL Server

Full stack: TypeScript, JavaScript, React, Next.js, Node.js, Express.js, REST APIs, C#, .NET Core, PHP, Symfony

About me

Cloud Architecture Engineer and Senior Full Stack / AI Engineer with about a decade of experience across web platforms, backend services, Azure infrastructure, DevOps, observability, and AI-powered systems.

My recent work focuses on Azure environment design, Terraform-managed infrastructure, AKS production readiness, CI/CD, realtime chat reliability, and internal operations tooling for support, developers, and data analysts.

Current focus

Azure cloud architecture and Terraform-managed infrastructure
AKS production-readiness, autoscaling, and capacity planning
CI/CD, deployment reliability, and release troubleshooting
Observability, incident investigation, and AI/chat platform reliability

Focus Areas

Azure cloud architecture, DevOps, observability, AI systems, and platform reliability.

Cloud Architecture

Design of Azure test/dev and production-preview environments using Terraform, AKS, PostgreSQL, Redis, Key Vault, storage, and monitoring services.

DevOps and CI/CD

Deployment automation across backend, chat, profiling, frontend, and supporting services using Azure DevOps, GitHub Actions, Docker, secrets, and migrations.

Observability

Monitoring and incident investigation workflows across Azure Monitor, Application Insights, Log Analytics, Grafana, Sentry, ClickHouse, Mixpanel, and PostgreSQL.

AI Systems

OpenAI and Azure OpenAI integration, realtime chat systems, WebSocket reliability, quota planning, and production-readiness for AI-enabled workflows.

Internal Tools

Operations dashboards for support, developers, and data users with session lookup, transcript analysis, exports, cost estimation, health views, and access control.

Full-Stack Platforms

Full-stack platform services using React, Next.js, Node.js, Express.js, TypeScript, REST APIs, authentication, integrations, and production troubleshooting.

YEARS BUILDING SOFTWARE

SIMULATED LOAD TEST USERS

OBSERVABILITY SOURCES

Selected Work

Selected cloud, DevOps, AI, and reliability work with production impact.

KAION Azure Environment Modernization

Problem: new KAION environments needed repeatable infrastructure and migration readiness.

Work: designed Terraform-managed Azure test/dev and production-preview environments with AKS, PostgreSQL, Redis, Key Vault, storage, App Services, monitoring, and CI/CD readiness.

Result: reduced configuration drift and created a clearer path for future production migration.

Azure | Terraform | AKS | Key Vault | PostgreSQL | Redis

CI/CD and Deployment Standardization

Problem: service deployments needed more repeatable release paths across environments.

Work: improved deployment workflows for backend, chat, profiling, frontend, and supporting services with branch-based releases, secrets, and migration steps.

Result: reduced manual release risk and improved deployment troubleshooting.

Azure DevOps | GitHub Actions | Docker | Migrations

KAION Insights Panel

Problem: support, developers, and data users needed one place to inspect sessions and platform health.

Work: built a Next.js dashboard with Microsoft login, role management, session lookup, transcript views, cost estimation, exports, and health views.

Result: improved operational visibility and shortened investigation workflows.

Next.js | TypeScript | PostgreSQL | Access Control

Chat Reliability and Load Testing

Problem: realtime chat workloads needed validation for production reliability and capacity planning.

Work: investigated WebSocket failures, Redis/PostgreSQL behavior, telemetry gaps, OpenAI realtime limits, and AKS capacity signals.

Result: ran 50, 100, and 250-user Locust scenarios to support AKS sizing, HPA/autoscaling decisions, and quota planning.

WebSocket | Locust | AKS | Autoscaling | OpenAI

Observability and Monitoring Strategy

Problem: support and engineering signals were spread across multiple monitoring and analytics systems.

Work: connected Azure Monitor, Application Insights, Log Analytics, Grafana, Sentry, ClickHouse, Mixpanel, PostgreSQL, and app logs.

Result: created clearer reliability workflows and reduced blind spots during incident investigation.

App Insights | Log Analytics | Grafana | Sentry

Platform Services and Integrations

Problem: platform services and integrations needed ongoing ownership across environments and releases.

Work: maintained Node.js, Express.js, and Next.js services, Cognifit and ComplyCube integrations, authentication flows, and production support paths.

Result: improved service continuity and developer support for infrastructure, deployment, and debugging work.

Node.js | Express.js | Next.js | REST APIs | Integrations