Mohammed RoqaTechnology Engineer

Journal / Insights

My Blog

Optional support Support the writing

Practical insights on engineering, automation, data, and product strategy. Each article focuses on turning ideas into dependable systems.

Founder readiness and business lifecycle learning path

Founder learning / AI strategy16 September 20268 min read

10 free IBM SkillsBuild resources for AI-enabled businesses

Build the judgement behind an AI-enabled business with no-cost learning across AI, cloud, data, security, and delivery.

Read the learning path
AI-powered multi-source research system using Activepieces, Apify and Google Sheets.

AI automation / Research systems13 September 202610 min read

AI-Powered Multi-Source Research with Activepieces

How Activepieces, Apify, AI analysis, and Google Sheets turn scattered sources into a source-backed brief a human can trust.

Read the research pattern
ACP architecture showing a client, protocol services, agent wrappers, MCP tools and shared infrastructure.

AI agents / System architecture9 September 20269 min read

ACP Architecture: Building Interoperable AI Agent Systems

How ACP separated agent communication from implementation—and how that lesson carries forward with A2A, MCP, CopilotKit, Tavily, and AWS.

Read the agent architecture
Lync payment operations connecting HubSpot relationship context, WhatsApp Business delivery, Paystack checkout, and confirmed payment status.

Founder perspective / Product systems6 September 20269 min read

Lync: One Clear View from Client to Cash Flow

How Lync brings client context, invoices, expenses, payment visibility, and a thoughtful approach to adjacent automation into one calmer operating rhythm.

Read the Lync story
LinkedNav, Zapier, HubSpot, Instantly and Slack reliable GTM data layer architecture

GTM / Data Operations / Automation2 September 202610 min read

Reliable GTM agents start with a trusted data layer

How Zapier validates LinkedNav prospect signals before they become CRM state, outreach, or a human decision.

Read the GTM architecture
AI-driven DevOps incident response architecture using n8n, Miro, GitHub, AWS, Kubernetes and observability

DevOps / AIOps / GitOps30 August 202611 min read

From production event to controlled remediation: n8n + Miro

A practical control loop for AI-assisted incident response, human approval, GitOps remediation, and verified learning.

Read the architecture pattern