Engineering thinking.
Artificial intelligence.

Develops multimodal AI solutions for real-estate content and document workflows. Built an LLM-driven brochure-personalization pipeline that adapts copy for seven buyer personas, alongside contextual image replacement across 12 semantic categories while preserving PDF structure and layout. Contributed to vision-language workflows for understanding architectural floor plans and an ASR–LLM–TTS pipeline.

Custom-trained machine-learning models for object detection, classification, and segmentation, achieving reported accuracy above 80%. Designed proof-of-concept computer-vision pipelines around business requirements. Collaborated with cross-functional teams to align technical solutions with business objectives and improve workflows.

Built speech-transcription workflows using OpenAI Whisper and custom named-entity recognition models, achieving an F1 score of 90%. Developed a Flask REST API for extracting structured invoice data with Azure Document Intelligence. Implemented a PDF question-answering system using LangChain, OpenAI embeddings, and FAISS.

Progressed from Graduate Engineer Trainee to Executive Engineer within the Testing and Certifications team. Contributed to engineering testing and certification work, building a foundation in technical problem-solving, quality-focused processes, and systematic validation.