Moumita Laskar
About Moumita Laskar
Moumita Laskar is an AI Enablement Engineer at ON Semiconductor, specializing in machine learning, cloud computing, and system architecture. She holds a Bachelor's degree in Electronics and Telecommunication Engineering from the National Institute of Technology Silchar and a Master's degree in Computer Engineering from Arizona State University, where she achieved a perfect GPA.
Work at ON Semiconductor
Moumita Laskar currently holds the position of AI Enablement Engineer at ON Semiconductor, where she has been employed since 2020. In this role, she focuses on integrating artificial intelligence technologies into semiconductor solutions. Her work contributes to the company's efforts in enhancing product capabilities through AI-driven innovations.
Previous Employment Experience
Before joining ON Semiconductor, Moumita Laskar accumulated diverse experience in the technology sector. She worked as a Senior Software Engineer at ARRIS from 2013 to 2014 and held the same title at Nortel Networks from 2008 to 2010. Additionally, she served as a Senior Design Engineer at Mistral Solutions Pvt. Ltd for five months in 2006. Earlier in her career, she worked as a Tech Associate II at Avaya from 2008 to 2010.
Education and Expertise
Moumita Laskar earned her Bachelor's degree in Electronics and Telecommunication Engineering from the National Institute of Technology Silchar, completing her studies from 1994 to 1998. She later pursued a Master's degree in Computer Engineering at Arizona State University, achieving a perfect GPA of 4.0/4.0 from 2019 to 2020. Her academic background supports her specialization in Machine Learning, Cloud Computing, and System Architecture.
Technical Skills and Specializations
Moumita Laskar possesses extensive technical skills in programming languages, including C, C++, and Python. She specializes in Machine Learning, Cloud Computing, and System Architecture. Her knowledge extends to Embedded Systems, VoIP, and Algorithms, showcasing her versatility in the technology field. She is recognized for her strong debugging and problem-solving abilities, which are essential in her engineering roles.