Product @ Shakti Cloud.

As part of business development, my responsibility includes building GTM strategies for GPU computing products, AI platforms and solutions. Work with both sales and services teams to increase revenue in Enterprise GPU computing. Collaborate with marketing team for creative marketing and manage programs and promotions for GPU/AI computing products and solutions.Engage with ISVs to build solutions and jointly address the AI market space. Also, I take care of the technical requirements of AI/ML/DL solutions. Architecting End -to- End GPU clusters. Leading the deep learning SA team for all pre-sales and post-sales services. Engaging with customers to provide solutions on AI services, code optimizations, MLOps, container technologies.

I was responsible to design and accelerate Deep Learning workloads for Enterprise companies, governments, handling their large scale data science workloads using various GPU accelerated software stacks. Helping them to architect and deploy deep learning solutions. Skilled at using various GPU accelerated platforms & python based numerical computing frameworks like1. TensorRT & ONNX: Deployment of optimized DNN2. Horovod Distributed Computing for DNN3. DeepStream SDK: Building Video Analytics Pipelines4. RAPIDS: CUDA Enabled Data Science Libraries5. Triton Inference Server: Platform for Deploying DNN in production for maximum efficiency & throughput.6. CLARA - Healthcare 7. DL Framework - TF/Keras, Pytorch, MxNetMajor Contribution 1. Helped various organizations apply state of the art DNN architectures in the space of Computer Vision & Natural Language Processing. Reducing training time and accelerating inference throughput pipelines on various H/W platforms like GPU-based Data Centers i.e DGX/EGX family, GPU-based Embedded Platforms i.e Jetson family. 2. Help customers architect and deploy large-scale GPU-based data-centre and building, maintaining a cluster of supercomputers leveraging Docker Platform and orchestrating it using Kubernetes/ SLURM. Have architected cluster setup for AI supercomputers in India at various prestigious research institutes ranging from 0.5 to 5 Peta-flop of Mixed Precision Compute for large scale machine learning workloads.3. Worked with Startups to optimize and package the entire AI application to deployments 4. Have done many POC for Computer vision applications.5. Have conducted technical training for students, working professionals, Research scientists on topics - Deep learning, Machine learning, GPUs, GPU optimized SDKs Certified Deep Learning Solutions Architect from NVIDIA.