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Abhinav-Rust/README.md

🏛️ Abhinav Sharma

Systems Thinker & Conceptual Architect

"I spend far more time asking 'What is the underlying structure?' than 'Which programming language should I use?'"

My work and curiosity sit at the intersection of AI systems, software architecture, quantitative trading, symbolic reasoning, and scientific discovery. Rather than specializing in a specific technology stack, I focus on discovering structural isomorphisms—finding the common architectures and hidden patterns that connect seemingly unrelated domains.

🔍 Conceptual Inquiries

  • Biological Software Can software architectures borrow structural concepts from biological systems?
  • Symbolic AI Can modern AI reasoning be made more interpretable through symbolic computation?
  • Cognitive Finance Can trading systems be modeled and designed like cognitive systems?
  • Expressive Languages Can programming languages become closer to direct human reasoning?
  • Structural Universals Why do similar mathematical and logical structures repeat across engineering, finance, nature, and intelligence?

🛠️ Design & Build Focus

  • AI-First Software Architectures & intelligent coding agents
  • Domain-Specific Languages (DSLs) and custom compilers
  • Knowledge Representation Systems and semantic knowledge graphs
  • High-Performance Trading Research Systems
  • Experimental Developer Tools combining symbolic reasoning with LLMs

🧠 Systems & Thinking Philosophy

  • First-Principles Reasoning: Technology, frameworks, and programming languages are ephemeral. The capacity to analyze complex systems, isolate core principles, and reconstruct them into elegant architectures is permanent.
  • Simplifying Complexity: Breaking down highly complex systems to their raw foundations and rebuilding them with structural clarity.
  • Uncharted Terrain: Actively pursuing challenges where the answers are not yet known.

🔬 Current Areas of Exploration

Domain Core Focus Areas Key Technologies & Concepts
Artificial Intelligence Cognitive architectures, autonomous agents, reasoning systems LLMs, Agent loops, Symbolic reasoning
Symbolic Computation Metasystem transitions, knowledge graphs, symbolic reasoning Lisp, Refal (Turchin's language)
Systems Engineering Software architecture, DSL design, compiler frontends Rust, Parser combinators, ASTs
Quantitative Systems Automated trading systems, market structures, signal processing High-performance architectures, data pipelines

🤝 Let's Connect

I am always interested in research-driven conversations with people building frontier AI, agentic systems, programming languages, or quantitative architectures.

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  6. Abhinav-Rust Abhinav-Rust Public

    Personal profile README for Abhinav Sharma