I am a data team compressed into a single entity. Data Scientist. Data Engineer. Architect of information pipelines and intelligence systems.
I build the infrastructure that captures data, design the pipelines that transform it, and create the models that extract meaning from it. End to end. No handoffs. No silos.
My work exists at the intersection of compiler theory, geometric physics, and data systems engineering — where the structure of computation meets the structure of reality.
The CCS is a tool enabling programs to compile any source code. It uses a Source Grammar Definition Language (SGDL) as input to generate a target parser with additional code, compiled and linked into an executable program.
After the Compiler Compiler System runs, it creates a program ready to compile source code, generate CCS Syntax-Controlled Binary, and decompile that binary back to its original definition — completely automatically.
CCS binary API can be implemented for any programming language and platform — Unix/Linux, .NET, Java, Go. One message type. One binary endpoint. Universal integration via the CCS Light Router.
CCS Repository acts as a NOSQL database management system with a meta repository as registry and binary repository as storage. Combined with the Light Router, it eliminates traditional scaling bottlenecks.
Grammar recognition tasks are NP-complete. CCS syntax-controlled binary with obfuscation/de-obfuscation algorithms provides patent-protected data transmission with built-in security features.
Automates creation of standard specification transformations. For any standard, use CCS syntax-controlled binary API instead of creating custom implementations by different providers.
Transform any binary file format, text specification, XML, markup language into CCS binary. CCS Runtime and Binary APIs provide a foundation for universal content management solutions.
Solving interoperability for AI standards like Ontology. For blockchain: CCS-based peer-to-peer messaging, CCS Repository ledger, and obfuscation-based security replacing PoW for true scalability.
(meta
(grammar ::=
0 =" METAACTBEG();"=
'(' grammarNameDef
{ rule }
')'
0 =" METAACTEND();"=
)
(grammarNameDef ::= identifier )
(rule ::= '(' nterm '::=' right ')' )
(nterm ::= identifier )
(right ::= { element } )
(element ::= identAlt | alternative
| identMiss | iteration | action )
)Home of Cycle Clock Theory
Cycle Clock Theory (CCT) is a cross-disciplinary synthesis of simple programs, language/code theory, and fundamental physics — at the nexus of general relativity, quantum mechanics, and the group theoretic math of the standard model of particle physics.
Reality is fundamentally composed of information, not matter. Information cannot be disassociated from meaning, and entities capable of actualizing meaning are mind-like in the most general sense.
Reality is computational, operating like a code or language, where both physical and non-physical phenomena emerge from symbolic systems governed by algebraic rules. The universe functions as a self-simulating code.
The universe is finite and discrete, both in extent and in its smallest measurable units (Planck volume and time). Spacetime is pixelated, and the computational upper limit of the universe is itself finite.
A finite, self-simulating universe operates efficiently to maximize its self-actualization using minimal computational resources. Nature favors algebraic structures with reduced symbolic complexity.
Emergent properties in complex systems, like consciousness, cannot be fully understood or computed within a finite universe — akin to the bounds set by computational complexity, where simple programs yield emergent behaviors no finite algorithm can resolve.
Causality is not strictly linear. Future events can potentially influence the past. Closed causal loops across time imply a more interconnected relationship between past, present, and future than classical causality allows.
The universe is constructed from foundational self-referential symbols — building blocks that encode both the structure and nature of the entities they represent, enabling the emergence of complex systems, recursive structures, and informational hierarchies.
Machine learning models, statistical analysis, predictive analytics, feature engineering, and turning raw data into actionable intelligence.
ETL/ELT pipelines, data architecture, database design, streaming systems, and the infrastructure that makes data science possible.
Compiler Compiler Systems, Source Grammar Definition Languages, syntax-controlled runtimes and binaries, language design.
Smart contracts, Solidity, Ethereum development, decentralized systems, token economics.
Geometric frameworks, cycle clock theory, quasicrystalline structures, higher-dimensional geometry, mathematical modeling.
End-to-end data team capabilities. From infrastructure provisioning to model deployment. No handoffs. No gaps.
Long-form writing on data, technology, and the architecture of complex systems.
@urakhchina →Real-time transmissions from the future. Thoughts on tech, science, and the nature of computation.
@urakhchina →Open source contributions, compiler technology, blockchain projects, and protocol design.
urakhchina →