Relevance AI
Regine Marte is a skilled software engineer with a strong background in computer science and software engineering. Currently serving as Software Engineer II at Relevance AI since July 2021, Regine previously worked as a software developer at Lumaway for two years. Educational qualifications include a Bachelor of Science (with Distinction) in Computer Science from UNSW and a Bachelor of Engineering (B.E.) Diploma of Engineering Practice in Computer Software Engineering from the University of Technology Sydney. Regine also obtained a Higher School Certificate from Good Samaritan Catholic College.
Relevance AI
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At Relevance AI, our mission is to help teams create "light bulb" data moments. Moments where you realize something impossible is possible now and the significant impact of it. This moment can ignite essential use cases such as unstructured data analysis, topic modelling, recommendations, semantic search, zero-shot classification, etc. Unstructured data exists in many forms, such as text fields in your CSV, SQL tables, PDFs, Audio transcripts, Images, Videos, etc. "The 80% Blind Spot: Are You Ignoring Unstructured Organizational Data?" - Forbes