Michelle Segovia is a highly skilled Senior Software Engineer with 8 years of dedicated experience in developing and deploying cutting-edge machine learning models and AI-driven applications. Currently based in Austin, Texas, she has a proven track record of leading complex projects from conception to launch, focusing on natural language processing (NLP) and computer vision. Michelle is passionate about leveraging technology to solve real-world problems and is known for her innovative approach, strong analytical skills, and collaborative spirit. She thrives in fast-paced environments and is committed to continuous learning and staying abreast of the latest advancements in AI. Outside of her professional life, Michelle is an advocate for women in tech and enjoys mentoring junior engineers.
Michelle Segovia's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Received the company's 'Innovator of the Year' award for developing a novel NLP algorithm that improved customer sentiment analysis accuracy by 25%.
Successfully led a team of 5 engineers in the development and deployment of 'Project Chimera,' a computer vision system for automated quality control, reducing manufacturing defects by 15%.
Invited as a keynote speaker at the AI Dev Summit 2023, where she presented her work on 'Ethical Considerations in AI Model Training' to an audience of over 500 industry professionals.
Co-authored a research paper titled 'Advancements in Few-Shot Learning for Image Recognition,' which was published in a leading peer-reviewed journal.
Central Piedmont Community College - Year 2014
University of North Carolina at Charlotte
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