Sakshi Goyal

1. Built and managed ETL workflows using AWS Glue, transforming raw data for analysis on Amazon S3 with AWS Athena. 3. Automated workflows with AWS Lambda and Step Functions for efficient processing. 4. Developed C++ algorithms for sensor and map data validation 5. Enhanced Python/C++ software for improved functionality and accuracy in coordinate transformations. 6. Integrated Docker-based tests into the CI/CD pipeline

• Researched and implemented CNN and Transformer based methods to identify out-of-distribution scenarios in autonomous driving datasets, using pytorch. • Developed and trained neural networks, object detection and depth prediction • Implemented Kalman filter for 2D LiDAR/Radar sensor data, enhancing precision and accuracy. • Executed perception sensing and autonomous path planning using Carla simulator and ROS. • Implemented Named Entity Recognition using NLP models tailored to a custom dataset.

• Automated training and evaluation processes for pose estimation. • Created a visualization tool for model comparison. • Calibrated stereo and IP cameras using OpenCV. • Improved tracking speed through GPU-based optical flow estimation. • Implemented pose outlier detection and model selection using scikit-learn.

Majored in Computer Vision