Siddhi Brahmbhatt
About Siddhi Brahmbhatt
Siddhi Brahmbhatt is an Associate Machine Learning Scientist - I at Wadhwani AI in Delhi, India, focusing on computer vision projects that assist visually impaired individuals and agricultural pest management. She has a background in machine learning internships at reputable institutions and holds a Master's degree in Computer Science from the University of Massachusetts Amherst.
Work at Wadhwani AI
Siddhi Brahmbhatt currently holds the position of Associate Machine Learning Scientist - I at Wadhwani AI, a role she has been in since 2023 in Delhi, India. Prior to this position, she worked as a Machine Learning Intern at Wadhwani AI for three months in 2022. In her current role, she focuses on developing machine learning solutions that apply computer vision techniques to empower visually impaired or disabled individuals, as well as working on pest detection and management in agriculture.
Education and Expertise
Siddhi Brahmbhatt completed her Bachelor of Engineering in Information Technology at G H Patel College of Engineering & Technology from 2017 to 2021. She then pursued a Master's degree in Computer Science at the University of Massachusetts Amherst from 2021 to 2023. Her academic background provides her with a strong foundation in machine learning and computer vision, which she applies in her research and projects.
Background
Before her current role at Wadhwani AI, Siddhi Brahmbhatt gained experience through various internships. She worked as a Machine Learning Intern at the Indian Institute of Science (IISc) in Bengaluru, Karnataka, for four months in 2020. Additionally, she held a Computer Vision Research Fellowship at Manning College of Information and Computer Sciences, UMass Amherst, for six months in 2022. These experiences contributed to her expertise in machine learning and computer vision.
Achievements
Siddhi Brahmbhatt has engaged in projects that address real-world problems through machine learning. Her work includes creating novel datasets for machine learning research and developing AI projects focused on assisting visually impaired or disabled individuals. She also specializes in machine learning solutions for pest detection and management in agriculture, demonstrating her commitment to applying technology for societal benefit.