Rahul Denkanikota

AI/ML:

 Architected, designed, and developed a multimodal Neural Network for personalized video summarization as part of a Recommender System.
 Deployed the ML solutions on Google Cloud Platform.
 Tested the ML solution on 2million+ frames.
 Developed a unique Clustering algorithm for actors in a video stream.
 Developed a Deep Learning solution for Emotion detection from frames.
 Developed a Generative Neural Network (VAE) for facial embeddings.
 Expertise in training DL models on huge volume of unstructured data.  Expertise in prototyping AI computer vision research papers.
 Expertise in Containerizing (CI/CD) Deep Learning models.

SYSTEM:

 Developed underlying C/C++ support libraries for video analysis engine including H264 decoder and encoder using ffmpeg.

 Root caused BSODs, System Hangs, Applications Hang, Applications Crash etc.
 Debugged various Windows driver stacks like STORAGE, NETWORK, USB, AUDIO, etc.
 x86/x64 Assembly level debugging of Windows source code.
 C/C++ Source level debugging of OS code.
 Kernel mode and User mode debugging.

 Delivered multiple trainings to Microsoft customer on Windows Internals concepts and Kernel / User mode debugging.

 A senior member of the Windows Premier support team specializing in Windows Performance and Reliability.

 Advanced troubleshooting with diagnostic tools such as Windows Performance Monitor, Network monitor, Windows debugger etc.