🧠 Computing Science | AI | Security | Education
🔬 Research-driven systems builder.
I design and build secure, explainable learning systems, connecting theory → models → working software with a strong focus on real-world impact.
🔬Research Interests
- AI and CyberForensics
- AI-driven learning systems (Grade 3–6).
- Secure & ethical educational AI.
- Explainable AI in low-resource environments.
- Cross-subject knowledge reinforcement.
- Systems-level understanding of algorithms and data structures.
🧪 Selected Work
- AI Learning Systems – Experimental models for reinforcing concepts across subjects.
- Security & Web Vulnerabilities – Documented vulnerabilities with practical mitigation insights.
- Systems Programming (C) – Low-level implementations to study performance, memory, and learning behavior.
- Algorithms & Data Structures – Theory translated into executable models.
✍️ Writing & Research Notes
- 📝 Medium – Research reflections, technical breakdowns, and learning notes
👉 https://medium.com/@mngugi7 - 🔐 Sentry Information (WordPress) – Security analysis, vulnerability write-ups, and awareness content
👉 https://sentryinformation.wordpress.com/
🛠 Tools & Technologies
🔬Focus Areas
- Artificial Intelligence in Education.
- Secure Learning Systems (K–12).
- Privacy-Preserving ML.
- Web & Mobile Vulnerability Research.
- AI and Cyberforensics.
🚧 Current Work
- Secure AI tutoring system for primary education.
- Web vulnerability documentation (100-part series).
- C & Linux systems tooling.
📌 Current Focus
- Building a secure AI education platform for primary learners
- Bridging academic research and practical systems
- Preparing research-grade projects for MSc-level work
