Research & Innovation
A highly skilled Full-Stack Engineer with a distinct specialization in AI agent orchestration and modern TypeScript architecture. They demonstrate expert capability in implementing complex AI frameworks (OpenAI Swarm, Anthropic Contextual Retrieval) with production-grade quality, while simultaneously maintaining a portfolio of experimental offensive security tools in Go and PowerShell. The contrast between their polished AI projects and rougher security proof-of-concepts suggests a professional focus on AI engineering with a strong passion for cybersecurity.
This score reflects a highly capable engineer who delivers production-grade work in their primary domain (AI/TypeScript) while maintaining a separate, experimental standard for security research. Users should interpret the lower scores in Go/Security as a reflection of 'prototype' status rather than a lack of fundamental ability.
The profile offers a very clear dichotomy: polished, professional-grade AI engineering in TypeScript versus experimental, rough-around-the-edges security research in Go/PowerShell. This consistency across multiple repos creates a high-confidence picture of a developer who builds production AI systems but hacks on security tools for research.
Prioritizes exploration over polish
TypeScript implementation of AI-driven search with BAML and Inngest.
Model-agnostic typescript implementation of OpenAI's Swarm framework with the Vercel AI SDK
GoLang icmp-based reverse shell. Project contains cross-platform implant, as well as listener.
Grab DPAPI-protected Wifi Passwords
Typescript implementation of Anthropic AI's contextual retrieval method