Abhishek Vivekanandan Email & Phone Number

Karlsruhe, Bw, De

Karlsruhe Area, Germany

Working towards creating a safe driving decision outcomes from Deep Neural Networks by constrained optimization strategies. As a result understanding the edge cases and its impact on decision outcomes play a crucial and foremost role towards minimizing the risk posed by unknown unknowns; Safety of The Intended Functionality (SOTIF). - Design of algorithms to reduce the information loss during sensor fusion from raw sensor data.- Design of safe Neural Networks based on existing Functional Safety Standards.- Behavior prediction of agents in the environment using LIDAR, CAMERA and HD map information.

Wolfsburg Area, Germany

Estimation of model uncertainty and Deployment of Deep Neural Networks onto Nvidia Drive PX2- Development of custom CUDA kernels with Cudnn- Drive PX2 NN deployment solutions- Quantization of weights for faster inference solutions- Neural Network optimizations for efficient use of TensorRT optimizer.

Wolfsburg Area, Germany

Conceptualization of AI technologies for Autonomous cars-Design and optimization of Semantic Segmentation architectures for Deep Neural Networks.-Development of training pipeline for Deep Convolutional Networks. -Benchmarking of IBM cluster GPU's for training performance evaluation.

Master’S Degree, Automotive Software Engineering

Main subjects of interest: -Machine learning and deep learning concepts -Computer Vision -Multi-core programming -Automotive Software.

Bachelor'S Degree, Electronics And Instrumentation Engineering (St. Joseph'S College Of Engineering)

Areas of interest: - Process control - Transducer Engineering - VLSI design - Embedded programming (Arduino and Raspberry pi) - Control.