sharath kumar soudamalla

Data Science and Data Engineering solutions

• Research on state of the art techniques for Deep Learning based conversational models • Development of Deep Active Learning Conversational model architecture using Sequence2Sequence, Attention mechanism, Beam search decoding and Active Learning • Training the model on GPU for 3 phases on different datasets with Transfer Learning concept • Deployment of the trained model for production with Docker Container • Testing the Conversational AI model on Humanoid robot - Pepper

Artificial Intelligence Development in Procurement • Data preparation and ANN development to detect Maverick Spend • Word embeddings and Visualization of Embedded words on Tensorboard • Development of ANN model architecture with Tensorflow and training the model on AWS for Spend Classification project • Hyperparameter Optimization for ANN

Focus on: Machine Learning, Computer Vision,Automotive Software Engineering, Software Platforms for Automotive Systems, Hardware/Software Codesign,Timing-Aware Programming for Embedded Systems, Multicore-Programming, Design of Software for Embedded Systems, Automotive Sensor Systems

Microprocessors and Microcontrollers, C programming and Data structures, Switching Theory and Logic Design, Operating Systems, Computer Organisation, Control Systems, Computer Networks, Analog Communications, Digital Communications