Chennakeshava Akhil Pillalamarri

• Working in a team which develops and deploys machine learning and deep learning algorithms for Computer Vision and NLP projects.
• Collaborating with the Data Annotation teams for collecting the datasets for the given use-cases and training those datasets using Roboflow.
• Using Deep Learning architectures like CNN, RNN, ConvLSTM, etc. and other Models like YOLO from Ultralytics, for developing the models for Image Classification, Object Detection, Semantic Segmentation, Video Classification, etc. and also deploying the models in AWS SageMaker

During the internship I was put in a team where we had to work on a project which is Electrical Vehicle Design using MATLAB, where we had to:

• We had to model the electric vehicle components using MATLAB which provides a comprehensive set of tools for modeling the various components of an electric vehicle.
• Than we had to analyze the electric vehicle performance in terms of its range, efficiency, and emissions.
• Then we developed control systems for the electric vehicle, such as the battery management system (BMS) and the motor controller, which are essential for ensuring the safe and efficient operation of the vehicle.

During the internship I have collaborated with a team to develop a machine learning model for the Analysis of App Store games:

• We exposed the best combination for strategy games available in the AppStore in order to get a good user rating.
• I was needed to perform Data preparation by cleaning the data and removing null values and identify which genres have higher user ratings and identify the trend of user ratings based on pricing.