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GhostyyOnline

Meeth W

AI Security Systems Research

I build systems, break them on purpose, and go looking for the part that gave.

Most of my projects start as questions I couldn't leave alone — behavioural security, AI that has to run on my own hardware, and what data looks like when you stop storing it in rows.

status
online
mode
building
focus
ai / security / systems
location
Asia, Pacific
ghostyy@localhost: ~

02/ Current focus

What's running right now

One thesis project taking most of the time, and a set of questions running in the background behind it.

Currently buildingBuilding

BASIS SDK

Behavioural anomaly detection that installs as Django middleware, learns what an application's normal traffic looks like, and flags the actors who stop matching it — shipped with the attack scenarios and benchmark harness used to prove it works.

Pipeline

  1. Attack simulation
  2. Live application
  3. Request telemetry
  4. Feature windows
  5. ML detection
  6. Risk score
  7. Dashboard
  • Python
  • Django
  • scikit-learn
  • Isolation Forest
  • One-Class SVM
Read the case study
ghostyy@localhost: ~/ps
  • basis-sdkrunning
  • malware-tracerrunning
  • researchrunning
  • portfoliobuilding
  • sleepnot found

Exploring

  • AI memory
  • Token efficiency
  • RAG systems
  • Behavioural cybersecurity
  • Graph intelligence
  • Local inference
03/ Featured work

Projects worth reading about

Each of these has a case study — what the problem was, what I actually built, and where it falls short.

PRJ-002Active

Zero-Day Malware Behavior Predictor

Static behavioural analysis, MITRE ATT&CK mapping and an LLM reasoning layer — inferring intent without ever running the file.

  • Python
  • Django
  • Next.js
  • TypeScript
  • MongoDB
  • +3
Cybersecurity
PRJ-003Research

Graph-Based Fraud Detection

Banking fraud modelled as structure rather than rows — laundering loops and shared-ownership rings surfaced in Neo4j.

  • Python
  • FastAPI
  • Neo4j
  • Cypher
  • React
  • +2
Data
PRJ-004Archived

Personal Dashboard

A self-hosted workspace — notes, files, scraping and an assistant running on a local model rather than someone else's API.

  • React
  • Vite
  • Tailwind CSS
  • Python
  • FastAPI
  • +3
Full Stack
05/ Stack

What I actually build with

Grouped by what it's for rather than arranged as a wall of logos. Everything here appears in something I've shipped.

01

Languages

Python and TypeScript carry most of the weight; the rest show up where they have to.

  • Python
  • TypeScript
  • JavaScript
  • Java
  • Kotlin
  • C
  • C++
02

Frontend

React everywhere, Next.js when routing and rendering matter, Vite when they don't.

  • React
  • Next.js
  • Tailwind CSS
  • Vite
  • Framer Motion
03

Backend

FastAPI for services, Django when the batteries are the point.

  • FastAPI
  • Django
  • REST APIs
  • Uvicorn
04

Databases

Chosen by the shape of the question — documents, graphs, columns or a single file.

  • MongoDB
  • Neo4j
  • Cassandra
  • HBase
  • SQLite
  • Prisma
05

AI / ML

Local models by default; scikit-learn where a classifier beats a language model.

  • Ollama
  • Llama
  • Gemini
  • LangChain
  • scikit-learn
  • PyTorch
  • RAG
  • Embeddings
06

Infrastructure

Enough to run what I build without renting someone else's opinion about it.

  • Linux
  • Docker
  • Git
  • GitHub Actions
  • Terraform
07/ Lab

Not everything needs to become a startup

17 smaller things — a CNN behind a drawing canvas, an API scratchpad, Minecraft mods that taught me more about architecture than any course did, and a bot that fishes.

Open the lab
08/ Contact

Say something

Open to conversations about AI systems, security engineering, and problems that don't have a tidy answer yet. No form — a form would need a server, and this site doesn't have one.