Yasaswini Konthala
About Yasaswini Konthala
Yasaswini Konthala is a Data Science Co-op currently working at Torc Robotics and has a Master's degree in Computer Science from The University of Texas at Austin. She has developed a data framework for automated vehicles and has experience in various roles, including NLP Engineer and AI Intern.
Current Role at Torc Robotics
Yasaswini Konthala serves as a Data Science Co-op at Torc Robotics since 2024. In this role, she engages in data analysis and the development of data-driven solutions within the context of automated and connected vehicles. Her position is based in the Austin, Texas Metropolitan Area and operates in a hybrid work environment.
Education and Expertise
Yasaswini Konthala studied at The University of Texas at Austin, where she is pursuing a Master's degree in Computer Science from 2022 to 2024. She previously earned a Bachelor of Technology in Computer Science from the Indian Institute of Information Technology, Tiruchirappalli, from 2018 to 2022. Her academic background provides a strong foundation in data science and machine learning.
Professional Experience
Yasaswini has held various positions in data science and artificial intelligence. She worked as an NLP Engineer at ROOT2AI TECHNOLOGY PRIVATE LIMITED for two months in 2021. In 2022, she served as an Artificial Intelligence Intern at Hacklab Solutions for five months. Additionally, she has experience as a Graduate Research Assistant and Graduate Teaching Assistant at Texas McCombs School of Business.
Projects and Contributions
Yasaswini developed a data framework for automated and connected vehicles, a project funded by the Texas Department of Transportation. She utilized tools such as Plotly, DASH, Docker, Nginx, Kubernetes, and REST API to create, deploy, and visualize data-driven solutions. Her work has facilitated collaboration and decision-making among teams through the implementation of annotation and insight routing functionalities within a dashboard.
Research and Development
Currently, Yasaswini is involved in research at the Center for Transportation Research at UT Austin, where she has been a Graduate Research Assistant since 2023. Her focus includes conducting experiments and developing visualizations to optimize machine learning model performance, contributing to enhanced productivity through automation.