Vimal S

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Lead at Bezirk (Bosch Startup Platform), having experienced in IoT and Embedded System Development in Automotive, Industrial and Medical Domains Responsible for evolving the architecture and creating top-level designs for IoT and Embedded Systems. 16+ years of expertise in Linux, Distributed Middleware systems. Making key technical decisions, Quality Coach and Competency development for the team. Skilled in various phases of the product developments - Concept, Prototyping, Architecture, Development. Enthusiast learner in Edge, machine learning, and reactive programming. Provides viewpoints to the senior management of the Sector/BU on technical and organizational matters

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KubeFlow + GPU + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark ML + Jupyter

Chris Fregly • 4 years ago

Vimal S

The innovation catalysts

Modern Agile Software Architecture

Defend against adversarial AI using Adversarial Robustness Toolbox

Kubeflow Pipelines (with Tekton)

8. Graph - Data Structures using C++ by Varsha Patil

35 strategies for critical thinking

Containerized architectures for deep learning

PAPIs LATAM 2019 - Training and deploying ML models with Kubeflow and TensorFlow Extended (TFX)

Using MLOps to Bring ML to Production/The Promise of MLOps

Container Patterns

KubeFlow + GPU + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + PyTorch + XGBoost + Airflow + MLflow + Spark ML + Jupyter

Machine Learning Model Deployment: Strategy to Implementation

How to deploy machine learning models into production

Tamil Comics - Mayavi yaar-antha-mayavi-pdf

[Harvard CS264] 07 - GPU Cluster Programming (MPI & ZeroMQ)

Tensorflow internal

Percy Liang at AI Frontiers : Pushing the Limits of Machine Learning

Stanford CS 007-01: Personal Finance for Engineers / Introduction

building intelligent systems with large scale deep learning

Introduction to Homomorphic Encryption