Avoy Datta
About Avoy Datta
Avoy Datta is a Machine Learning Engineer currently working at EliseAI in the New York City Metropolitan Area. He has extensive experience in AI and machine learning, having previously worked at Twitter, Stanford University, J.P. Morgan, and UnifyID.
Current Position and Responsibilities
Avoy Datta is currently a Machine Learning Engineer at EliseAI in the New York City Metropolitan Area. His role involves developing conversational AI solutions, specifically tailored for multifamily leasing. At EliseAI, he contributes to creating deep learning models for applications in conversational AI.
Past Experience at Twitter
Avoy Datta worked at Twitter as a Machine Learning Engineer II in San Francisco, California, United States in 2022 for 4 months. Before that, he served as a Machine Learning Engineer from 2021 to 2022 for a year in the same location. His work at Twitter entailed developing and enhancing machine learning models for various applications.
Academic Background
Avoy Datta earned his Master's degree in Electrical Engineering, specializing in Optimization and Signal Processing, from Stanford University, studying from 2019 to 2021. He also holds a Bachelor of Science degree in Electrical Engineering and Math from Stanford University, which he completed from 2016 to 2020.
Research and Teaching Roles at Stanford University
Avoy Datta has held multiple research and teaching positions at Stanford University. He served as a Research Assistant at the Stanford Artificial Intelligence Laboratory (SAIL) under Professor Andrew Ng for 2 months in 2020. Additionally, he was a Course Assistant for the Deep Learning course (CS230) from 2020 to 2021, a Research Intern at the Wireless Systems Laboratory for 6 months in 2018, a Research Intern at the Department of Electrical Engineering for 2 months in 2018, and a Research Intern at the Department of Physics for 2 months in 2017.
Professional Experience in AI and Machine Learning
Avoy Datta has extensive experience in AI and machine learning across various industries and roles. He worked as an AI & ML Summer Analyst at J.P. Morgan in 2020 for 3 months in New York, New York. He also engaged in AI research at UnifyID as both an AI Research Fellow and a ML Research Intern in 2019 in Redwood City. These roles allowed him to develop and deploy machine learning models and diversify his expertise in AI applications.