Yamini L
About Yamini L
Yamini L is a Machine Learning Engineer with a Bachelor of Engineering in Computer Science from Sri Sivasubramaniya Nadar College of Engineering. She specializes in developing image segmentation models for the fashion and furniture sectors and has experience in various internships and volunteer roles.
Work at Mad Street Den
Yamini L currently holds the position of ML Engineer at Mad Street Den, where she has been employed since 2019. Her role involves developing advanced machine learning models, particularly focusing on image segmentation within the fashion and furniture sectors. This position allows her to apply her technical skills and contribute to innovative projects in the field of artificial intelligence.
Education and Expertise
Yamini L earned a Bachelor of Engineering in Computer Science from Sri Sivasubramaniya Nadar College of Engineering, completing her studies from 2016 to 2020. During her academic tenure, she was recognized as the Best Outgoing Student in her department for the 2020 batch. She also holds a High School Diploma from Sri Sankara Senior Secondary School, where she studied from 2014 to 2016. Her educational background has equipped her with a solid foundation in computer science principles.
Background
Yamini L has a diverse background that includes various internships and volunteer experiences. She interned at Ford Motor Company in 2018, at Doordarshan Kendra in 2017, and at the University of Oregon in 2019. Additionally, she volunteered with Bhumi for two months in 2021. These experiences have contributed to her professional development and understanding of different work environments.
Achievements
Yamini L has received multiple merit scholarships throughout her academic career, highlighting her dedication and performance in her studies. She was also awarded the Best Outgoing Student accolade in her department, recognizing her achievements during her time at Sri Sivasubramaniya Nadar College of Engineering.
Technical Skills and Interests
Yamini L specializes in developing image segmentation models, particularly for the fashion and furniture domains. She actively engages in coding challenges on Leetcode to enhance her proficiency in data structures and algorithms, primarily using C++. This commitment to continuous learning and skill development reflects her dedication to her field.