Kartik Prabhu

*Developed an iOS application to access Lidar data using ARKit & integrated it into Faro's 3D pipeline. * Tech Stack: iOS, Swift, C++, Bitbucket, Confluence, XCode, VSCode, ARKit.

Improved performance of facial recognition from 40% to 75% for winter sports in project iDisplay using occlusion based data augmentation with objects such as goggles, masks, beanies, etc. Integrating the trained model with a unity-based application coupled with Rest APIs. * Tech Stack: C#, Gitlab, Unity, Blender

Development of Augmented and Virtual Multi-User Applications for Medical-Technical Exchange in Immersive Rooms (AVATAR) Created a manual pipeline for custom rigged characters using AvatarSDK, 3DS max, Mixamo, and giving them life-like properties. Synchronizing character's eye movement with eye-tracking of the user using HTC VIVE pro. *Tech Stack: Python, C#, Unity, Pycharm, Flask, Tensorflow, OpenCV, GPU Cluster, Bitbucket.

Assisting students with Deep learning problems solved in TensorFlow. Concepts covered: MLPs, CNN, RNN, DenseNets, Resnet, Attention mechanism, Best practices, Autoencoders, Adversarial attacks. (Low level and Keras) * Tech Stack: Python, Tensorflow.

Developed features and Proofs-of-Concept for Android application: Airwatch Agent(now Workspace ONE) and OEM services. Participating in code refactoring and reviews. Collaborating with Rugged device certification and testing teams and participating in high-level escalations. Mediating issues with partner companies like Zebra, Motorola, Honeywell, Bluebird, Samsung, etc. * Tech Stack: Android, Java, Kotlin, SQLite, JIRA, Agile, Confluence, Bamboo.

Deep learning, Computer vision and deep learning, Machine learning, Visual analytics, Advanced topics in Machine learning, Data mining, Information retrieval, Three-dimensional & advanced interaction.