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Vetted Talent

Keerthik Shenoy

Vetted Talent
Dedicated cloud and DevOps professional with years of experience, seeking opportunities to leverage expertise in cloud architecture, automation, advanced troubleshooting, monitoring solutions, and ensuring high availability. Currently pursuing AWS Certified Solution Architect Professional certification.
  • Role

    Senior Platform Engineer II (DevOps / MLOps)

  • Years of Experience

    5.5 years

  • Professional Portfolio

    View here

Skillsets

  • EKS
  • Migrate to vm
  • Terragrunt
  • Kustomize
  • KServe
  • KEDA
  • ELK Stack
  • Azure
  • Sagemaker
  • Python
  • MLFlow
  • Kubeflow
  • Helm
  • GKE
  • gitlab ci
  • GCP
  • Kubernetes - 1 Years
  • DVC
  • Datadog
  • CloudWatch
  • Bash
  • AWS
  • GitHub Actions
  • Prometheus
  • Jenkins
  • Grafana
  • ArgoCD
  • Docker
  • Terraform - 1 Years
  • Terraform - 1 Years
  • Kubernetes - 1 Years

Vetted For

7Skills
  • Roles & Skills
  • Results
  • Details
  • icon-skill_image
    Kubernetes Systems Engineer level 1AI Screening
  • 54%
    icon-arrow-down
  • Skills assessed :API, ETCD, OpenShift, VMware Tanzu, AWS, Kubernetes, 組込みLinux
  • Score: 54/100

Professional Summary

5.5Years
  • Apr, 2024 - Present2 yr

    Senior Platform Engineer II

    Quantiphi
  • Feb, 2024 - Apr, 2024 2 months

    DevOps Engineer

    ALLEN Digital
  • Aug, 2022 - Jan, 20241 yr 5 months

    Cloud Engineer

    42Gears
  • Aug, 2020 - Feb, 20221 yr 6 months

    Cloud Engineer

    Tata Consultancy Services
  • Mar, 2022 - Aug, 2022 5 months

    Site Reliability Engineer AWS

    Thomson Reuters

Applications & Tools Known

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    aws

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    gcp

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    Terrafrom

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    Python

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    GitLab

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    Ansible

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    Kubernetes

Work History

5.5Years

Senior Platform Engineer II

Quantiphi
Apr, 2024 - Present2 yr
    Kubernetes Orchestration & Scaling: Architected and managed multi-tenant GKE clusters for microservices platforms; implemented KEDA for event-driven autoscaling to handle unpredictable traffic spikes while ensuring high availability and seamless elasticity. Configuration Management: Standardized deployment manifests for 50+ microservices by implementing Kustomize and Helm, ensuring DRY (Dont Repeat Yourself) configurations and eliminating environment drift across dev, staging, and production. Scalable ML Inference: Engineered high-performance model serving infrastructure using KServe on Kubernetes and AWS SageMaker, automating the lifecycle from model registration to production deployment. Cost & Infrastructure Excellence: Directed cloud efficiency initiatives by implementing automated right-sizing and spot-instance orchestration via Terraform, significantly reducing monthly burn for high-compute workloads. Hybrid Cloud Architecture: Designed secure cross-cloud access patterns using AWS STS and federated IAM, enabling secure data ingestion for high-traffic IoT and healthcare microservices. Cloud Modernization (Migration): Facilitated the migration of legacy workloads from vCenter to GCP using the Migrate to Virtual Machines service, ensuring minimal downtime and stateful data integrity during the transition.

DevOps Engineer

ALLEN Digital
Feb, 2024 - Apr, 2024 2 months

Cloud Engineer

42Gears
Aug, 2022 - Jan, 20241 yr 5 months
    Kubernetes Foundation: Started the journey of building production-grade EKS and GKE clusters from scratch, taking ownership of cluster setup, version upgrades, and node group scaling. Infrastructure as Code: Developed and maintained Terraform scripts to ensure repeatable and consistent environments across AWS and GCP. CI/CD & Containers: Implemented GitLab CI pipelines for containerized applications, focusing on automating the build-to-deploy lifecycle. Networking & Security: Designed secure VPC architectures and implemented site-to-site VPNs to support highly available product infrastructure. Observability: Set up monitoring and alerting using Prometheus, Grafana, and Datadog to maintain system uptime and track platform reliability.

Site Reliability Engineer AWS

Thomson Reuters
Mar, 2022 - Aug, 2022 5 months

Cloud Engineer

Tata Consultancy Services
Aug, 2020 - Feb, 20221 yr 6 months
    Cloud Migration Journey: Kicked off my career by facilitating large-scale on-prem to AWS migrations, focusing on re-hosting and re-platforming enterprise applications. AWS Core Infrastructure: Gained deep foundational knowledge in AWS Networking (VPC, Route53) and Storage, provisioning high-availability architectures to support migration strategies.

Achievements

  • AWS Community Builder 2022 Program: Selected as participant in the AWS Community Builder program, recognized for contributions to the AWS community and expertise in cloud and DevOps.
  • Managed YouTube channel with over 45,000 subscribers, providing tech content on AWS, DevOps, IoT, and electronics.

Testimonial

42Gears Mobility System

42Gears Mobility System

An adept and quick learner, I bring valuable expertise in AWS, GCP, Kubernetes, Terraform, Linux, and more. My ability to seamlessly adapt to new technologies is matched only by my passion for teaching and sharing knowledge. I excel not just in mastering emerging technologies but also in imparting that proficiency to my team, fostering a culture of continuous learning and innovation

Major Projects

2Projects

End-to-End Cloud-Native Platform

    Architected a scalable EKS microservices ecosystem using Terraform, implementing GitOps (Helm & GitHub Actions) for automated multi-environment deployments. Established full-stack observability using Prometheus and Grafana to monitor platform reliability and scaling performance.

End-to-End MLOps Platform

    Designed a unified lifecycle platform using Kubeflow, MLflow, and DVC to automate model training, versioning, and reproducible experimentation. Productionized model inference workflows by integrating SageMaker and exploring KServe for scalable, high-performance model serving.

Education

  • Bachelor of Computer Applications (BCA)

    Mangalore University (2020)

Certifications

  • AWS Solution Architect - Asssociate