Applied AI
Agentic workflows, retrieval, orchestration and voice experiences.
MCP / Voice AI / Python
SHANTO MATHEWTechnology is interesting.
What it lets people do
is the part I care about.
AI systems, voice experiences
and security automation.
From the first question to the handoff.
Independent work, built to be explored.
Select a project to see what it does,
how it is put together, and its boundaries.

I work at the intersection of AI, security and the everyday work that connects them.
I started in testing and support, moved into Python engineering at Commonwealth Bank, and went deeper into security automation at NBN and Splunk. A chapter in data science at BHP added another way to ask questions. Today, I bring those experiences into applied AI and enterprise security work.
I’m most interested in the part between a promising idea and something another person can actually use. That means writing the Python, connecting the tools, thinking through failure, and paying attention to the handoff.
The projects here are public prototypes. They make ideas tangible; they don’t expose private client systems or imply that a demo is an operating business.
Software. Data. Security. Applied AI.
Each chapter brings something
useful to the next.
Agentic workflows, retrieval, orchestration and voice experiences.
Playbooks and integrations that connect signals, decisions and response.
APIs, cloud services and interfaces, shaped around real workflows.
Have an interesting problem in AI,
security automation or product engineering?
I’d like to hear about it.