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

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.

🔦 Contributors Welcome:

Repository	Description	Stars	Forks
Awesome-Prompt-Engineering	A curated collection of prompt engineering resources
Awesome-Generative-AI	A curated collection of generative AI resources
Awesome-AI-Scientists	Resources for building AI Scientist systems: literature intelligence, hypothesis generation, experiment planning, tool-use, evaluation, and scientific communication
Awesome-Physical-AI	A curated list of Robotics + AI resources for Physical AI / Embodied AI
Awesome-Agentic-Engineering	A curated collection of agentic engineering resources
Awesome-AgentOps	AgentOps resources for operating, evaluating, and improving agent systems
Awesome-RL-for-Agents	Reinforcement learning resources for agentic systems
Awesome-Simulation-Engines-for-Social-Science	Simulation engines and tools for social science research

🔦 Research Maps & Curated Collections:

Repository	Description	Stars	Forks
awesome-ai-for-bioengineering	A curated list of high-quality resources on AI for bioengineering, including biological foundation models, protein design, molecular generation, self-driving laboratories, datasets, benchmarks, tooling, and responsible release practices.
Awesome-Multi-Agent-AI-Safety	A curated, technically rigorous list of research, infrastructure, testbeds, and tools for securing systems of interacting AI agents.
awesome-recursive-language-models	A curated map of recursive language models, recursive inference, recursive reasoning architectures, and self-calling AI systems.
awesome-recursive-self-improvement	A curated list of recent AI resources on recursive self-improvement, self-evolving agents, test-time adaptation, experience learning, self-refinement, and governed AI improvement loops.
awesome-rl-for-agents	A curated map of reinforcement learning for agents: systems that learn through interaction with environments, tools, APIs, users, other agents or the physical world.
awesome-simulation-engines-for-social-science	A research map for learned social simulation engines: methods, tools, datasets, and evaluation practices for modelling bounded social systems under intervention.

🔦 Profiles:

Linkedin	Medium	Stack Overflow	Leetcode	FreeCodeCamp	DataCamp	CodePen	Kaggle