Ganesh Bagalkot

- Responsible for Generation of Synthetic Data to resemble the Laser Sensor Points Cloud data to train Deep Learning Models ‐ Demonstration of Proof-of-Concept to train a model using the Synthetic data and test on the real Laser Sensor data to check the production quality. ‐ Applying Computer Vision Algorithms and Model-based approaches to match the Synthetic data close to the Real Sensor data to improve the overall accuracy of the model ‐ Implementation of various Deep Learning models to solve the problem

- Involved in the R&D team in developing and optimizing the various models - Engaged in developing the application and Deep Learning model for the end to end MVP of the company - Optimizing the models for the Inference to deploy to the production environment using TensorRT - Implemented various Object detectors and classifiers with several Computer Vision methods for the MVP: YOLOV3, Tiny YOLO, ResNet, MobileNet, Inception networks including Domain adaptation.

1. Managing various technical aspects like software design, coding of modules, monitoring critical paths & taking appropriate actions 2. Assisting in the development of new systems or enhancement of existing systems based on customer requirements 3. Engaged in designing, development, coding, testing and debugging of system software 4. Applied Agile concepts across the course of execution of the project

Artificial Intelligence- Machine Learning, Deep Learning