Jaswanth Bandlamudi

Developed scene understanding models using LiDAR point cloud. Responsible for generating new data and creating ETL pipelines for training deep learning models. Responsible for deployments of various customer facility models on AWS.

• Develop a novel real-time 3D hand pose estimation model using an RGB image and delivering an accurate pipeline with data processing systems • Plan and execute cutting-edge research to advance the current model using Inverse-Kinematics for hand mesh modeling

• Conducted extensive research in the multi-agent systems perception and control area • Developed a ROS2-based ground vehicle and drone multi-operation interface for disaster response using Java and IHMC communication libraries

My part of the job as a workstudent include preparing of test cases for the validation of various subsystem functionalities in the bus from Evobus

Responsible for Testing Automotive HVAC components which include writing test cases and Performing Regression and key behaviour testing of HVAC components and documenting the results. Developed a plant model for the HIL testing of the Electronic climate control using MATLAB- Simulink and updating the dSPACE GmbH Hardware in Loop (HIL) setup to support two different electrical architectures testing.

Vehicle Electronics, Power Electronics, E-Drive Systems (400V and 24V systems), Control Systems.