Vivek Subash

Cloud DevOps Engineer

* Machine Learning --> DeepLearning for Lidar and Images. --> Vehicle Detection, Classification and Lane Detection tasks. * Software Integration --> Algorithm Integration into Products and Web services.

Title: Vision Based Environment condition Classification to support Highly automated Driving. • Development of an Algorithm to identify Road conditions and surroundings based on Deep Learning • Visualisation and Systemic analysis of algorithm. • Integration of the algorithm as a filter component into the ADTF framework. • Testing and Evaluation of the algorithm on real world driving conditions.

Title: Development of a 'Pattern Recognition Tool' to assist in Machine Learning projects. • Gather Requirements, and propose systematic Design strategies. • Modular development of independent components, that can be linked as a tool chain. • Perform Testing and Validation of individual components for their correctness. • Generate useful statistics from the tool and validate it with benchmarks.

• Worked on Design, Development and Deployment, Unit/Developer Testing phases in "Cloud based Applications" • Worked on the UI development, migration of the legacy application, following the Incremental model of SDLC and learned the private cloud architecture of the client.