London, United Kingdom

Lucian Huluta

This inventor holds 1 USPTO granted patent. Top assignee: Citibank, N.a.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lucian Huluta. Retrieved from https://idiyas.com/inventor/lucian-huluta

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Lucian Huluta: Inventor in Structured Data Processing

Introduction

Lucian Huluta is an inventor based in London, United Kingdom, associated with Citibank, N.A. His patent work concerns techniques for translating structured rules into executable logic and recording how that logic reaches its results. Huluta is credited with 1 patent.

Latest Patents

Huluta’s patent, “Compiling and Executing Structured Data,” describes a system for processing rules written in a domain-specific language. The system parses a rule—which can specify an entity, one of its properties, and logical operators—into an abstract syntax tree. It then transforms that representation into an executable function that evaluates input data organized according to a machine-readable model.

When the function runs, it produces a logical outcome and intermediate results for individual conditions and operators. The system records these results in an execution trace stored in a structured log, making it possible to retrieve evidence of how the outcome was determined.

Career Highlights

Huluta’s listed patent connects his inventive work with structured data processing, rule evaluation, and traceable execution. His professional affiliation is Citibank, N.A.

Collaborations

Ian James Micallef and Kranti Midha are identified as Huluta’s coworkers. The available information does not specify their roles in the patent or whether they collaborated on its development.

Conclusion

Lucian Huluta’s patent focuses on converting structured rules into executable functions and preserving a trace of their evaluations, highlighting an approach to making data-driven outcomes more transparent and reviewable.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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