About

Akanksha Diwedy is a skilled Software Engineer with expertise in Data Structures, Algorithms, Python, C++, HTML, and SQL. With a strong background in Software Development, she has worked on several Android, Web, and Machine Learning projects, including game-playing AI agents and image classification applications using TensorFlow. Akanksha has completed courses in Deep Learning, Machine Learning, Artificial Intelligence, Algorithm Analysis, Database Systems, Web Programming, and Software Engineering. She is familiar with common enterprise development tools such as Github. Currently, Akanksha is working as a Software Development Engineer at Amazon Web Services (AWS). In her role, she is responsible for developing and maintaining software applications that power AWS. Prior to joining Amazon, Akanksha worked as a Software Engineer 2 at Juniper Networks. Here, she developed new features for monitoring and visualizing user-defined metrics using RESTful API and Flask as part of the Appformix Team. She also created monitoring abilities for Openstack Octavia load balancers backend for health checks and alert notifications. Additionally, she aided in troubleshooting, debugging, reproducing, and validating issues at all stages of development. Akanksha also worked as a Software Engineer Intern at A10 Networks. Here, she developed a way to perform regression testing using a predictive model that estimates the likelihood of each test failing for a newly proposed code change. She leveraged machine learning and probabilistic analysis for selecting regression tests. This method needed to run only a small subset of tests to detect faulty changes even before the code was committed. She used XGBoost Regression Algorithm for training the model over large-scale data to achieve 82% accuracy and eliminate a large number of unnecessary test executions. She also optimized and parallelized the model's feature extraction from order of n-squared to order of n, thereby reducing the time of execution from 12 days to 4.5 hours. Akanksha holds a Master of Science degree in Computer Science from the University of Southern California, which she completed in 2020. She also has a Bachelor of Technology degree in Information Technology from YMCA, which she completed in 2018. With a relevant experience of 2.27 years, Akanksha has a strong technical background and is skilled in AWS, Web, ML, SQL, Python, AI, test, Deep Learning, TensorFlow, Flask, Backend, Android, and XGBoost.