I use technology to build products that empower, Product Manager and Developer with 17 years of experience. Currently; Woking on information extraction from documents to enable search, Q&A and Knowledge graph to bring fast insight in unstructured documents like sec fillings. 2. Expanded Facebook(FB) AI to scale beyond trillion parameters DNN`s in production by building systems that train DNN on thousands of GPU`s - Onboarded latest recommendation architectures(DHEN, UHM) from FB research to production 0->1 push - Build new ML Pipelines for deploying largest recommendation system and content understanding for FB and Instagram Reels, video ,and feed teams. - Enabled and deployed first online training pipeline for Insta Reels and FB feed. - Created first modular training by breaking a monolith training loop into components like data module, checkpointing, metrics and scheduling. 2.5. As a product manager I build VisionOnEdge and MlOps pipeline with mlflow and Kubeflow on edge this allowed Azure customer to bring ML to edge and cloud, - Retrain loop on edge with a Larger DNN for auto labeling - Pre-trained models and bring your own model that can get you started in minutes - Time series insights from edge inference results in cloud - Auto Scale nodes on Kubernetes cluster on the edge 3. As a Software engg. Lead I build and shipped www.visionaidevkit.com/ and then factory-ai (https://github.com/Azure-Samples/azure-intelligent-edge-patterns/tree/master/factory-ai-vision) - Scaling Cloud and AI on Edge with ease - Training Ml model using Azure Machine learning service with Tensorflow, caffee, pytorch - Containerizing ML models with runtime to use hardware accelration (GPU,VPU,DSP) Product Specialties: • Define and drive customer strategy with press release and FAQ including customer and market feedback, competitive analysis, and business metrics to inform direction • Define product vision with future roadmap, investment, innovation, and experimentation • Execute product planning and development to include customer goals and business requirements for release, I ensure implementation is aligned with product goal and requirements, I own product positioning and pricing • I influence senior leaders and communicate ML/AI vision, strategy, goals, status, and customer impact Technical Specialties: • Tensorflow, Pytorch , Onnx • Azure Machine Learning , Azure IoT , Azure Kubernetes Service , Linux , Docker • Pytorch lightening, mlFlow and Kubeflow ml pipelines on edge • Python , C++,C#