Chethan Kailashnath

About

• Result-driven and versatile Software Developer with 3+ years hands-on experience in both research and industry settings. • Proficient in a wide range of programming languages, including Python, Java, and Golang, as well as various databases, frameworks, and web services. • Recognized for optimizing processes, enhancing system performance, and delivering innovative solutions. Adept at collaborating with cross-functional teams and managing client escalations. • With a passion for problem-solving and a commitment to excellence, I am poised to contribute my expertise to drive the success of cutting-edge software projects. • Proficient in all SDLC stages, from requirements to maintenance, using SCRUM, Agile and Waterfall methodologies for efficient project management and high-quality software delivery.

Publications

Towards an Intelligent Automated Building Code Compliance System

Computing in Civil Engineering 2023 · Jan 25, 2024

An automated intelligent building code compliance methodology using a flexible and adaptable BIM authoring tool is presented. The method is designed to use minimal computing resources in different contexts of code applications. The innovation utilizes the complete corpus of the building code as input for compliance checking. Current research developments use specific sections of the code that focus only on parts of the building code without making inferences to subsections or other building codes. The approach uses natural language processing techniques to generate an easy-to-process output [simplified comma-separated value (CSV) file] for rapid interpretation and further manipulation for review and modifications of the generated ruleset, thereby increasing the accuracy of the rule when needed. Simultaneously, the approach prevents the recreation of rulesets when inferred sections were previously generated, to ensure the integrity of IBC sections and subsections structure. This paper presents the data extraction and processing approach that generates computer-readable rules using building code paragraphs. Future work will incorporate methods to fully process tables and figures to generate a comprehensive check and inference in compliance.

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