AI Product Engineer | Cybersecurity Specialist

Hello, I am Nathanael Gaw, an AI Product Engineer who builds AI systems and software that turn complex problems into clear outcomes.

Nathanael Gaw

AI engineering, software development, cybersecurity, web development, and spec-driven work shaped by research, automation, and structured system thinking.

System focus
AI research and orchestration
Cloud automation
Software development
Cybersecurity

About

AI engineering, software development, and structured system design.

I work at the intersection of AI systems, web development, software engineering, and cybersecurity, building systems that turn complex inputs into structured outputs for research, automation, remediation, and decision support.

AI research

Research-backed system work.

Software development

Builds user-facing systems and supporting logic end to end.

Spec-driven development

Works from requirements to implementation with clear system structure.

Core toolkit

Tools used to build systems.

The portfolio emphasizes systems programming, AI workflows, backend development, analysis, and repeatable development practices.

Systems Programming

  • C/C++
  • Java
  • Python

AI Systems

  • AI research
  • Orchestration
  • RAG architectures
  • Automation scripting

Cybersecurity

  • Kali Linux
  • Penetration testing
  • Web exploitation
  • Privilege escalation
  • Network reconnaissance

Backend Systems

  • MySQL
  • PHP
  • JavaScript

Analysis & Data

  • Pandas
  • MATLAB
  • Linux environments

Software Development

  • Web pages
  • Application logic
  • Integration workflows

Development Workflow

  • Spec-driven development
  • VSCode
  • Linux environments

Featured system

Document RAG System

Retrieval-based AI system designed to extract and ground responses in structured document datasets, reducing hallucination and improving factual consistency.

Grounding flow
  • Grounding
  • Retrieval
  • Structured documents
  • Factual consistency

Featured system

AI College Decision System

Multi-factor AI decision system that evaluates institutions based on financial cost, stress indicators, and lifestyle variables using structured comparative modeling.

Comparative scoring model
  • Cost
  • Stress
  • Lifestyle
  • Comparative scoring

Technical depth

Toolkit used to build systems.

This section keeps the core stack visible as a dedicated narrative beat so the story moves from personal summary into technical depth.

Languages

C/C++, Java, Python

AI Systems

AI research, orchestration, RAG architectures

Cybersecurity

Kali Linux, penetration testing, TryHackMe, web exploitation

Backend

MySQL, PHP, JavaScript

Analysis

Pandas, MATLAB, Linux environments

Workflow

VSCode, automation scripting, spec-driven development

Web Development

HTML, CSS, JavaScript, page structure

Next step

Review the systems or open the resume.

The homepage focuses on AI engineering, software development, and the systems used to build grounded retrieval and decision workflows.