Audity Moumi is a passionate and skilled Software Engineer with a strong background in developing and deploying machine learning models and building robust software solutions. Currently contributing her expertise at Google, she has a proven track record of working on impactful projects that leverage cutting-edge technologies. Audity is known for her analytical abilities, problem-solving skills, and her drive to continuously learn and innovate in the tech space. She holds a Master's degree in Computer Science from a reputable institution, further solidifying her foundational knowledge and practical skills in software development and AI.
Audity Moumi's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Currently developing and implementing software solutions within Google, contributing to large-scale projects and leveraging expertise in machine learning and software engineering best practices.
Gained valuable industry experience working on applied science projects, likely involving data analysis, model development, or research in machine learning applications during her internship.
Contributed to academic research in computer science, focusing on areas potentially related to machine learning, natural language processing, or data science, showcasing early engagement with advanced technical concepts.
Completed a Master of Science in Computer Science from the University of Massachusetts Amherst and a Bachelor's degree from Bangladesh University of Engineering and Technology (BUET), demonstrating a solid educational background in the field.
University of Michigan-Dearborn - Year 2022
Hamtramck High School - Year 2019
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