Baishali Mullick
About Baishali Mullick
Baishali Mullick is a Deep Learning Engineer currently employed at Motional in Los Angeles. She has published research on heuristic algorithms and 3D super resolution, and has a background in project management and engineering.
Current Role at Motional
Baishali Mullick serves as a Deep Learning Engineer at Motional, a position she has held since 2022. Based in Los Angeles, California, she focuses on developing advanced deep learning models that contribute to the company's autonomous vehicle technology. Her role involves applying machine learning techniques to enhance the performance and safety of autonomous systems.
Previous Experience at PictorLabs Inc
Before joining Motional, Baishali Mullick worked as a Machine Learning Engineer at PictorLabs Inc from 2021 to 2022. During her one-year tenure in Los Angeles, she contributed to various machine learning projects, leveraging her expertise to develop innovative solutions in the field.
Project Management Experience at Heinen & Hopman
Baishali Mullick held multiple roles at Heinen & Hopman, starting as a Project Engineer from 2016 to 2017, followed by Assistant Project Manager from 2017 to 2019, and finally as Project Manager for 8 months in 2019. Her work in Kolkata involved overseeing project execution and ensuring alignment with client requirements.
Education and Research Background
Baishali Mullick earned her Master's degree in Electrical and Computer Engineering from Carnegie Mellon University, where she also completed a Master's Research Project from 2020 to 2021. Additionally, she worked as a Research Assistant in the Mechanical and AI lab, focusing on data-driven predictive solutions in mechanical engineering. She also published research on 3D Super Resolution at the NIPS2020 MLSB workshop.
Undergraduate Studies at Vellore Institute of Technology
Baishali Mullick completed her undergraduate studies at Vellore Institute of Technology from 2012 to 2016. This foundational education provided her with essential knowledge and skills in engineering, which she later applied in her advanced studies and professional roles.