Building secure AI systems, agentic workflows, and resilient full-stack products.
I build software at the intersection of AI, product engineering, and security.
My work focuses on:
- AI-enabled applications and workflows
- Agentic systems and developer tooling
- Real-time full-stack products
- Secure-by-design architecture
- Cybersecurity fundamentals and systems thinking
- Building practical tools that are accurate, useful, and trustworthy
I’m not interested in "AI for the sake of AI." I care about building systems that solve real problems and hold up under real-world constraints.
- Secure AI workflows and tooling
- Agent-first software systems
- Full-stack products with real-time interaction
- AI-assisted engineering infrastructure
- Cybersecurity learning applied to system design
A real-time multiplayer social / room platform built with Next.js, React, Express, Socket.IO, and Supabase.
Key points:
- Room creation and joining flows
- Multiplayer interaction design
- Real-time event-driven backend
- User auth and session flow
- Product iteration around social engagement mechanics
Tech stack:
- Next.js
- React
- TypeScript
- Express
- Socket.IO
- Supabase
Repository:
Status:
- Actively developed / functional prototype
A repository-level harness for AI coding agents and human + AI collaboration.
Key points:
- Agent-aware software workflow design
- Better repository context and operating model
- Tooling for AI-assisted development
- Rust CLI infrastructure
- Documentation-first engineering for agent workflows
Tech stack:
- Rust
- CLI tooling
- GitHub workflows
- Documentation-driven architecture
Repository:
Status:
- Actively developed tooling project
A structured learning repository focused on cybersecurity fundamentals and practical study progression.
Key points:
- Linux / systems foundations
- Networking and security concepts
- Python and security tooling
- Structured learning roadmapping
Repository:
Status:
- Continuous learning / study project
A blockchain-focused project centered on ownership tracking, trust, and digital rights protection.
Key points:
- Secure ownership records
- Trust and traceability
- Digital rights protection concepts
- Applied blockchain thinking for secure systems
Repository:
Status:
- Concept-to-application exploration
An AI-driven smart public transport assistant concept exploring intelligent assistance in transit contexts.
Repository:
Status:
- Project / prototype stage
I prefer systems that are:
- practical before flashy
- secure by default
- easy to reason about
- built to evolve with feedback
- grounded in product value
Typical workflow:
- Define the problem clearly
- Design the architecture
- Build a working proof of concept
- Validate behavior and constraints
- Harden with security and reliability in mind
- AI-assisted workflows
- Agent infrastructure
- Repository-aware AI tooling
- Tooling for coding agents
- Workflow automation
- LLM-oriented product thinking
- Security fundamentals
- Secure software engineering
- Threat-aware architecture
- Defensive thinking
- Trusted AI systems
- TypeScript
- JavaScript
- Python
- Rust
- Node.js
- Express
- Next.js
- React
- Supabase
- Socket.IO
- GitHub workflows
- Full-stack product development
- Real-time systems
- API design and integration
- Product iteration
- Secure AI systems
- Agentic AI workflows
- AI-driven developer tooling
- Full-stack product engineering
- Applied cybersecurity
- Trustworthy and resilient systems design
I’m open to:
- AI engineering collaborations
- Secure AI and trustworthy AI projects
- Full-stack product development
- Agentic tooling and AI productivity systems
- Cybersecurity-focused engineering work
- Technical experiments with real-world value
- GitHub: https://github.com/twintestr
- Repositories: https://github.com/twintestr?tab=repositories
Building systems where AI, software engineering, and security meet.