I'm Ayyanar Jeyakrishnan ; aka AJ.

With over 18 years of dedicated IT expertise, I bring a wealth of experience coupled with strong analytical and technical leadership skills to the table.

As a strategic thinker, my focus is always on the long-term goals, and I thrive in collaborative environments, working closely with diverse stakeholders, including CXOs, technology leaders, and executive teams.

My professional journey has been characterized by hands-on, in-depth involvement in cutting-edge fields such as DevOps, Cloud Computing, Big Data, Machine Learning, and Artificial Intelligence. This comprehensive knowledge allows me to adapt and innovate in an ever-evolving tech landscape.

Beyond my day-to-day responsibilities, I'm passionate about knowledge sharing. I've had the privilege of serving as a speaker, delivering tech talks and workshops on a wide range of topics at conferences and meet-ups. Some of my favorite subjects to discuss include Generative AI, MLOps, DevOps, Cloud, and Platform Engineering.

I look forward to connecting with like-minded professionals and exploring opportunities to contribute to transformative tech initiatives. Let's connect and engage in meaningful discussions about the future of technology and its impact on our world.

I started a DataOps Labs Meetup group to share my knowledge and other people to share their experience with 1350 Members and Counting..

I started a DataOps Labs India Linkedin Page with Around 1300+ Followers

Shared all training / session materials here at YouTube for community members.

https://www.youtube.com/@DataOpsLabsIndia

MLOps with AWS Sagemaker Training Videos

Participants Counts Session 1 - 207
Participants Counts Session 2 - 93
Participants Counts Session 3 - 53
Introduction
QuickView of DevOps and its Benefits
What is MLOps
MLops Advantages and Its benefits
Machine Learning Lifecycle and Personas and Technology Involved
MLOps Addressed ML Lifecycle Important Challenge
Sagemaker Highlevel Understanding and Sagemaker Lifecycle
MLOPS with Sagemaker - Reference Architecture
Setup Terraform
Create Sagemaker Studio - Domain, Userprofile
Test Sagemaker Pipeline from SageMaker studio

My Presentation in Other Conferences and Events.

Machine Learning Meetup @NVidia
- https://www.meetup.com/bangalore-ai-tech-talks/events/290561644/
- Deploy MultiModel using Nvidia Triton Inference Server using AWS Sagemaker

Blog in Dev.to and Medium

Github Stats

Connect with me

Ayyanar Jeyakrishnan's Projects

2023-awscb.md

AWS Community Builder Contribution 2023

amazon-ecs-amazon-efs

Using Amazon EFS to Persist Data from Amazon ECS Containers

aws-nodejs-sample-codebuild

Sample NodeJS code for the hands-on CI/CD lab of the Deployment section.

aws_lambda_ftp_function

AWS Lambda Function to connect to FTP, download files and save them to S3 bucket

azure-triton-mme

Azure Triton MultiModel Endpoint

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

best-readme-template

An awesome README template to jumpstart your projects!

deploy-react-kubernetes

Built for developers who are interested in learning how to deploy a React application on Kubernetes, this pattern uses the React and Redux framework and calls the OMDb API to look up movie information based on user input. This pattern can be built and run on both Docker and Kubernetes.