Ashwin Sai Omprakash Email & Phone Number

Siegen, Nrw, De

Essen, North Rhine-Westphalia, Germany

Efringen-Kirchen, Baden-Württemberg, Germany

• Implemented a research strategy with reduced subsets of the Radar data where the resulting model operated with 95 % efficiency with even a 40 % deficit in the training data• Incorporated a new algorithm using the Recurrent Neural Network (RNN) architecture with LSTM units that improved the classification results by upto 75 % from the base model• Used Python-based data visualization and data analysis tools to obtain an explanation of the model’s performance with the data

Efringen-Kirchen, Baden-Württemberg, Germany

• Developed an Artificial Neural Network (ANN) model aimed at detecting vital parameters from Radar Data• Data Acquisition was carried out through the use of an FMCW Radar to generate a supervised dataset• Developed and deployed a DNN pipeline to construct binary classifier models leveraging 1D CNN and Data Augmentation techniques, integrated with a 2D CNN architecture• Developed a high-performing and resilient model by using model optimization and uncertainty quantification which was evaluated using classification metrics

Siegen, North Rhine-Westphalia, Germany

• Improved the organization's website by implementing several features with the help of the WordPress dashboard application to attract more traffic• Organized technical and digital support at the coordination office and during yearly and semi-yearly events such as seminars and conferences

Siegen, North Rhine-Westphalia, Germany

• Configured an AI Robot kit utilizing Jetson Nano SBC to enable real-time manipulation• Acquired image data under diverse driving conditions with drive parameters and deployed a Deep Neural Network Model using CNN and RNN architectures with model optimization techniques• Validated models across diverse environments through Hardware in the Loop testing, the resulting models operated with about 90% accuracy as the human driver

Bengaluru, Karnataka, India

• Developed new features on the company's Dashboard Application and enhanced its appearance. Alsoworked on the automation of several processes across multiple applications.• Designed and developed an SMS Application across both the front and back end and worked onapplications that required API integration with Applicant Tracking Systems (ATS).• Installed, demonstrated, and provided support for company products at client sites.

Master Of Science - Ms, Mechatronics, Robotics, And Automation Engineering

Specialization in Autonomous Systems and Machine Learning/ Deep learning.

Bachelor Of Engineering - Be, Mechatronics, Robotics, And Automation Engineering