SAI RAHUL KAMINWAR

Topic: Bayesian Neural Architectures in Generative Adversarial Networks.

• Design and evaluation of the anomaly detector neural network to detect the presence of unreliable noisy images which might result in erroneous classification in Autonomous driving. • Designing custom CNN layers that can be used to detect and correct errors in any computations that may have occurred due to the hardware faults with significantly less overhead utilizing checksums.

• Developed POC’s for the Microsoft IOT button in Azure Platform. • Real-time analysis by visualization on Power BI using Azure functions. • Worked extensively on IOT Hub, Table Storage, Azure triggers

Worked in Devops toolchain namely Bamboo and Octopus mainly in plan creation and deployment of web Applications developed using .NET technologies Automating the CI/CD pipeline using Powershell scripts over the Atlassian toolchain. Development and testing of new features of Integrated security platform 2.0 in C#. Self-healing and monitoring of Azure Cloud using Powershell and Appdynamics. Data Ingestion and Analysis using ELK stack.

Deep Learning Detection and Pattern Recognition Matrix computations for signal processing and machine learning

Data Structures and Algorithms Probability theory and Random Process