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natnew/README.md

Hi, I'm Natasha 👋

AI for Science · Agentic Systems · Responsible & Embodied AI · Research & Engineering 🚀

I design and evaluate advanced AI systems for scientific reasoning, experimentation, and decision-making in complex, high-uncertainty research and engineering environments.

Selected Work

Project Description
AI Security and Safety Triage Production-grade AI security and safety triage systems for structured review, risk analysis, and operational follow-through.
Autonomous Research Design Autonomous research design systems that transform hypotheses into rigorous, preregistration-ready study protocols.
Multimodal Narrative Pipelines Interleaved multimodal pipelines that turn spoken narratives into coherent visual and cinematic artefacts.
AI Incident Response AI incident-response platforms for outage investigation, runbook retrieval, root-cause analysis, remediation support, and postmortem drafting.
Healthcare Agent Interoperability Interoperable healthcare agent systems spanning clinical workflows, protocol exchange, and standards-based integration.
Reasoning Optimisation Systems Closed-loop reasoning optimisation systems that diagnose, repair, and enforce structured problem-solving behaviour in language models.
Cognitive Benchmarking Task-driven cognitive benchmarks that isolate reasoning capabilities, failure modes, and adaptation under controlled conditions.
Urban Intelligence Systems Location-aware urban intelligence systems that model places, movement, and real-world context for decision support and experience design.

Prompt Engineering AI, Third Edition cover My book, Prompt Engineering AI, was among the earlier books published on prompt engineering in early 2023. Now evolved into its third edition as Agentic Engineering, it reflects the field’s progression from prompting alone to the design, evaluation, testing, and orchestration of AI agents in real-world systems — spanning context engineering, spec-driven development, skills- and CLI-based operating models, and production-aware agentic workflows.



Projects Open for Contribution

🔦 Contributors Welcome:
Repository Description Stars Forks
Awesome-Prompt-Engineering A curated collection of prompt engineering resources Stars Forks
Awesome-Generative-AI A curated collection of generative AI resources Stars Forks
Awesome-AI-Scientists Resources for building AI Scientist systems: literature intelligence, hypothesis generation, experiment planning, tool-use, evaluation, and scientific communication Stars Forks
Awesome-Physical-AI A curated list of Robotics + AI resources for Physical AI / Embodied AI Stars Forks
Awesome-Agentic-Engineering A curated collection of agentic engineering resources Stars Forks

Find Me:

🔦 Profiles:
Linkedin Medium Stack Overflow Leetcode FreeCodeCamp DataCamp CodePen Kaggle


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Languages and Tools:

Languages and Tools

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  1. Awesome-Generative-AI Awesome-Generative-AI Public template

    A repository dedicated to showcasing and exploring the fascinating world of generative artificial intelligence.

    29 8

  2. awesome-physical-ai awesome-physical-ai Public

    A curated list of Robotics + AI resources to learn, build, deploy, and stay current in Physical AI / Embodied AI.

    JavaScript 10 1

  3. awesome-ai-scientists awesome-ai-scientists Public

    A curated collection of resources for building “AI Scientist” systems: AI that assists scientific discovery through literature intelligence, hypothesis generation, experiment planning, tool-use, ev…

    TypeScript 8 2

  4. Awesome-Agentic-Engineering Awesome-Agentic-Engineering Public

    A curated map of agentic AI systems — covering architectures, frameworks, memory, evaluation, and safety.

    Python 2

  5. Awesome-Prompt-Engineering Awesome-Prompt-Engineering Public

    Awesome-Prompt-Engineering - This repository includes resources for prompt engineering.

    Python 97 23