I build at the intersection of Cloud Infrastructure and Applied AI. My focus is on developing scalable, secure systems and deconstructing the psychological vulnerabilities in modern technology. Currently, I’m deep-diving into the Huawei Cloud ecosystem and AI model implementation. I don't just write code; I perform forensic audits on system failures—whether they are technical bugs or human social engineering exploits. My approach to development is rooted in "Zero-Trust" architecture: if it isn't verified, it's a vulnerability. Stack & Interests: -Cloud: Huawei Cloud Services, Serverless Architecture, Infrastructure as Code. -AI: LLM Integration, Prompt Engineering, Predictive Analytics. -Cybersecurity: Social Engineering Defense, Incident Post-Mortems, Data Forensics. I write to turn complex technical "black boxes" into transparent, actionable documentation. If you need a deep dive into Cloud-Native AI or a clinical analysis of a security exploit, you're in the right place.
Technical Writing & Documentation: Converting complex Cloud/AI concepts into high-signal, developer-focused content. Incident Post-Mortems: Deep-dive analysis of system failures and social engineering exploits. Tutorial Development: Step-by-step guides for Python, Cloud infrastructure, and AI integration.
Feb 14 · 6 min read · TL;DR: I went from "Why won't this webhook work?!" to a production-ready serverless M-Pesa integration. Here's everything I learned, including the face-palm moments. The Problem: When Your Server is Expensive and Your Budget Isn't So there I was, b...
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Jan 8 · 5 min read · This wasn’t a bug in software. It was a bug in human state management. Executive Summary On a single evening, 6,724 KES was exfiltrated from my M-Pesa wallet through a broadcast-based social engineering attack that required no phishing links, no mal...
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