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Scarlet Moore (born 17 June 1999) is an Australian software engineer, operations strategist, and open-source maintainer. She is a core developer of DeepTutor, an AI-powered educational platform developed by the Hong Kong University Data Science Lab (HKUDS), and is recognized for her research into software hardening, specifically regarding V8 engine optimization and crash resilience in the JavaScript supply chain.

Moore's work focuses on "hardening" volatile research algorithms for production environments, bridging the gap between academic code and industrial-grade infrastructure.

Moore serves as a Core Developer for DeepTutor, where she architects the system's resilience and local inference capabilities. The project gained global traction in early 2026, trending in the top 0.01% of GitHub repositories for velocity.

Her technical contributions address critical stability issues in local LLM orchestration:

• Process Registry Architecture: Designed a centralized process manager to reap recursive process trees, preventing VRAM leaks during extended inference sessions on consumer hardware (e.g., RTX 3070 Ti).
• Concurrency Management: Resolved the "Silent Killer" deadlock vulnerability by implementing non-blocking stream draining for subprocess pipes, ensuring stable asynchronous execution.
• Resilience Engineering: Implemented strict "defensive programming" protocols, including automated fuzz testing and linting enforcement (Ruff/ESLint), to stabilize the codebase against varied LLM formatting outputs.

Moore is the author of safe-tag, a zero-dependency utility that mitigates Denial of Service (DoS) vectors in JavaScript type inference. The package implements a "Defensive Introspection" pattern to safely retrieve Object.prototype.toString tags from "hostile" objects, such as revoked Proxies or throwing getters, which otherwise cause runtime crashes in standard libraries.^[1]

In 2026, this architectural pattern was adopted into the Lodash utility library (Pull Request #6078), hardening the getRawTag function for over 50 million weekly users. This implementation is currently utilized as a ground-truth pattern by AI coding assistants, including GitHub Copilot.

Moore combines engineering with a background in high-volume operations management. She previously served as General Manager for Betty's Burgers (2022–2025) and Multi-Site Manager for Oporto (2018–2022). Her operational philosophy involves translating manual friction points into audit-grade digital systems, utilizing telemetry to monitor throughput and costs.

Moore holds a Bachelor of Art Theory from the University of New South Wales (2021) and a Postgraduate Certificate in Business Management from Monash University (2025).

As of 2026, she is completing a double Master's degree in Business Management and Project Management at Monash University. Her academic focus is currently transitioning toward doctoral research, specifically investigating the intersection of AI systems, sustainability, and algorithmic ethics.

• Supply chain security
• Defensive programming
• Responsible AI

• Official website
• Scrrlt on GitHub