Natraj Kavirayani

Translated requirements into acceptance criteria, automated tests, operated release software cycle and report approval. Managed versioned releases of shared testing framework libraries (Ruby gems), aligning iterative improvements with evolving product and engineering requirements. Identified & resolved defect backlog items, improving product stability across release cycles. Documented bug tracking on JIRA. Worked in Agile/Scrum methodology.

Engineering Intern in ADAS Systems Department at AVL Software and Functions GmbH, Regensburg. Tasks involved: 1. Creating template for ADAS deliverables. 2. Creating hardware database for perception sensors and suppliers. 3. Working in a supportive role for ongoing projects. 4. Working with CANalyzer and Control Desk.

Master Thesis: LIDAR-based 3D Object classification of road objects: A deep learning approach. Tasks Involved: 1. Preparation of custom dataset-pipeline to prepare training and testing data. 2. Using multiple datasets to create custom files for training and validation. 3. Modifying deep neural network to acocmmodate the dataset. Platforms used: PyCharm, Python, Numpy, Point Cloud Library.

Engineering Intern in ADAS Department, primarily focused on LiDAR Sensors and LiDAR Data processing.

My task was to understand and work with Point Cloud Library and be able to read, process and analyse Velodyne HDL-64E S3 sensor data offline and be able to separate the ground in various scenarios.

During this internship I was tasked with working on EB Assist ADTF framework to analyse and process Point Cloud data and develop an object detection algorithm.

Completed my major project at the Electrical Maintenance-Switchyard Department of NTPC,Sipat. Regular site visits and interaction with maintenance officers along with in-depth interactions with senior engineers regarding various processes and aspects.

Received vocational training at the largest thermal power plant of India. Regular plant visits and interactions with senior engineers along with regular lectures by co-general manager about various processes .

Embedded Systems, Artificial Intelligence.