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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.

🔬 What I Build

My work focuses on agentic architectures — multi-agent and self-evolving systems — using frontier models and tooling such as Gemini, OpenAI, and Claude, alongside modern orchestration frameworks. I build systems that reason with tools, collaborate, critique outcomes, and adapt over time under distributional shift.

I am increasingly focused on embodied and physical AI, exploring how agentic reasoning extends beyond software into systems that perceive, act, and learn in the physical world.

I treat responsibility as a first-class systems constraint, embedding safety, evaluation, and governance directly into architecture through Red Teaming and ethics-by-design.

My focus is AI as scientific infrastructure: robust, transparent systems designed to operate reliably at the frontier of capability.


🛠️ Technical Focus

Frontier Models & Platforms
Gemini · OpenAI · Claude · MCP

Agent Orchestration
LangGraph · CrewAI · AutoGen · Semantic Kernel · ADK

Safety, Evaluation & Governance
Red Teaming · Guardrails AI · NeMo Guardrails · Inspect AI

Embodied & Physical AI
Robotics simulation · Sensor fusion · Real-world deployment patterns

Core Stack
Python · PyTorch · TensorFlow · Scikit-learn · Pandas


🚀 Featured Projects

Coming soon — end-to-end AI projects demonstrating agentic systems for scientific reasoning and experimentation.


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

Other Projects Open for Contribution:

Find Me:

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


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Languages and Tools:

docker java matlab mysql pandas python pytorch scikit_learn seaborn tensorflow

CPD:

Continuous Professional Development

Pinned Loading

  1. 100-Python-Projects 100-Python-Projects Public

    100 Python Projects

    Jupyter Notebook 154 51

  2. Awesome-Prompt-Engineering Awesome-Prompt-Engineering Public

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

    Python 91 20

  3. Awesome-Data-Science Awesome-Data-Science Public

    Carefully curated list of awesome data science resources.

    157 25

  4. 100-Days-of-Data-Science 100-Days-of-Data-Science Public

    Data Science Projects, Blogs, Ideas, Data

    Jupyter Notebook 8 8

  5. 100-Days-of-Artificial-Intelligence 100-Days-of-Artificial-Intelligence Public

    Artificial Intelligence For Good

    Jupyter Notebook 8 7

  6. Awesome-Generative-AI Awesome-Generative-AI Public template

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

    24 5