AI Copilot Developer for Revit (LLM Fine-tuning and Annotation)
TextFine Tuning
Designed and implemented an AI copilot for Revit, specializing its capabilities for AEC-specific tasks by performing fine-tuning on Large Language Models (LLMs). The process involved feeding domain-specific text data into the LLM, iteratively refining its outputs for improved relevance and context-awareness in the AEC sector. The work required careful curation, preparation, and annotation of instruction-based prompts to enhance natural language command understanding for industry workflows.
• Fine-tuned LLMs with construction-specific datasets.
• Annotated text prompts and responses to improve contextual accuracy.
• Evaluated and validated model outputs against engineering tasks.
• Utilized internal/proprietary tools for model development.
Designed and implemented an AI copilot for Revit, specializing its capabilities for AEC-specific tasks by performing fine-tuning on Large Language Models (LLMs). The process involved feeding domain-specific text data into the LLM, iteratively refining its outputs for improved relevance and context-awareness in the AEC sector. The work required careful curation, preparation, and annotation of instruction-based prompts to enhance natural language command understanding for industry workflows. • Fine-tuned LLMs with construction-specific datasets. • Annotated text prompts and responses to improve contextual accuracy. • Evaluated and validated model outputs against engineering tasks. • Utilized internal/proprietary tools for model development.
2025 - Present