Meenakshi Sistla
About Meenakshi Sistla
Meenakshi Sistla is a Machine Learning Engineer II at Expedia Group with a background in software development and a Master's degree in Computer Science from the University of Colorado Boulder.
Current Role at Expedia Group
Meenakshi Sistla is currently serving as a Machine Learning Engineer II at Expedia Group. Based in Chicago, Illinois, she began her role in 2023. At Expedia Group, she contributes her expertise in machine learning to develop and enhance various projects that aid in optimizing travel experiences for customers.
Professional Experience at Rewriting the Code
Since 2022, Meenakshi Sistla has been an active member of Rewriting the Code, a community focused on empowering women in tech. Her involvement in this organization aligns with her interest in continuous learning and professional development.
Previous Work Experience
Meenakshi Sistla has accumulated diverse experience in various roles. In 2022, she worked as a Student Developer at the University of Colorado Boulder and a Software Developer Intern at Sumeru Inc. She also served as a Graduate Teaching Assistant, Grader/Zoom Manager, and Student Assistant at the University of Colorado Boulder between 2021 and 2022. Prior to her graduate studies, Meenakshi worked as a Software Developer at Deloitte from 2018 to 2020 in Hyderabad, India. Earlier in her career, she was a CSRMP Scholar at Google in 2021.
Educational Background in Computer Science
Meenakshi Sistla holds a Master's degree in Computer Science from the University of Colorado Boulder, completed between 2020 and 2022. She also has a Bachelor of Engineering in Computer Science from Vasavi College of Engineering, having studied there from 2014 to 2018. Her academic background has provided a solid foundation for her professional roles in the tech industry.
Technical Skills and Project Work
Meenakshi Sistla has adapted to various development processes and honed her skills in Javascript, React, AWS, and Salesforce Sales Cloud. She has experience in fixing production bugs, developing feature enhancements, and creating POCs for scalable products. One notable project involved developing and supporting features for an in-house feature store to reduce maintenance and retrieval time during model deployment and inference. She is also interested in reading blogs and creating products beyond her current abilities, reflecting a commitment to continuous learning and professional growth.