Open to DevOps / SRE / MLOps roles

Ajinkya Thakare

DevOps / MLOps Engineer

I own the path from commit to production — building and operating cloud infrastructure on AWS and Kubernetes for high-traffic platforms in regulated industries, and now extending it with model pipelines and AI-driven operations.

AWS · Kubernetes · Terraform · CI/CD · GitOps · MLOps · AIOps · DevSecOps
99.9%
Uptime SLA held in production
40%
Faster incident resolution (MTTR)
60%
Reduction in deployment time
3+
Years across insurance & travel
01

Experience

DevOps Engineer · RailEurope

Sep 2025 — Present
  • Own CI/CD pipelines in Jenkins and GitHub Actions across 8 microservices, shipping 3–5 production deployments per week to AWS EKS with zero manual gate approvals.
  • Lead incident response and root-cause analysis — triaging in Opsgenie, correlating Prometheus and Grafana signals, and cutting MTTR by 40% against the inherited baseline.
  • Hold a 99.9% uptime SLA for raileurope.com through layered observability across ELK and CloudWatch.
  • Provision infrastructure with Terraform and Ansible, replacing ad-hoc changes with version-controlled, peer-reviewed IaC.

DevOps Engineer · FynTune Solutions

Apr 2023 — Aug 2025
  • Built AWS staging and production from scratch and wired them into Jenkins CI/CD, replacing manual SSH deployments with push-button releases.
  • Containerized monolithic insurance apps with Docker and migrated them to AWS EKS for platforms including paytminsurance.co.in and bajajcapitalinsurance.com.
  • Built observability from zero (Prometheus, Grafana, ELK), cutting time-to-detect for regressions from hours to minutes.
  • Cut deployment time by 60% by moving release steps into Terraform-managed infrastructure and Ansible playbooks.
02

Toolchain

Cloud

AWSEC2EKSS3RDSIAMCloudWatchAzure

Containers

DockerKubernetesk3sHelm

CI/CD & GitOps

JenkinsGitHub ActionsAzure DevOpsArgoCD

IaC

TerraformAnsibleCloudFormation

MLOps

MLflowEvidentlyFastAPI servingAirflowCI retraining

Observability

PrometheusGrafanaELKOpsgenie

DevSecOps

TrivyCheckovTruffleHogSonarQube

AI-augmented

k8sgptLLM PR reviewGroq / Gemini

Languages

PythonBashSQLPHP
03

Projects

Flagship · MLOps

End-to-End MLOps Pipeline — Churn Prediction

A full model lifecycle on free, open-source tooling: MLflow experiment tracking and registry, a CI quality gate that blocks weak models, containerized FastAPI serving on Kubernetes, and Evidently drift monitoring wired to auto-open a retraining ticket. Reached ROC-AUC 0.87 on the served model.

MLflowEvidentlyFastAPIKubernetesGitHub ActionsPrometheus
github.com/ajinkyatha/mlops-pipeline

AIOps Sentinel

AI-augmented GitOps pipeline: an LLM reviews security scans on every PR, and a k8sgpt-based copilot turns Prometheus alerts into plain-English root cause.

k8sgptLLMTrivyCheckovArgoCD
github.com/ajinkyatha/aiops-sentinel

GitOps Pipeline with ArgoCD

Every Kubernetes change flows through a Git PR — full audit trail, one-click rollback, and a reusable Helm library that onboards a new service in under an hour.

ArgoCDHelmKubernetes
github.com/ajinkyatha/gitops-pipeline-argocd

CI/CD + Monitoring Stack

A Jenkins pipeline with automated Docker builds, Kubernetes rollouts, and failure-triggered rollback, instrumented end to end with Prometheus and Grafana.

JenkinsDockerPrometheusGrafana
github.com/ajinkyatha/cicd-monitoring-stack
04

Education & credentials

MCA — Master of Computer Applications

ASM Institute · Distinction
2022 — 2024

BCA — Bachelor of Computer Applications

Tilak Maharashtra Vidyapeeth · Distinction
2018 — 2021

Certification

AWS Certified Solutions Architect — Associate

In progress

Let's build reliable systems together.

Open to DevOps, SRE, and MLOps roles. The fastest way to reach me is email — I usually reply the same day.