Available for opportunities

Hi, I'm Ajay

DevOps & Cloud Engineer

Building scalable cloud infrastructure • Automating everything • Bridging DevOps, AI & Data Engineering

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5+ Years Experience
20+ Projects Delivered
8 Certifications
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Ajay
About Me

Passionate about reliable, scalable systems

With over 5 years of experience in DevOps and Cloud Engineering, I specialize in designing and implementing robust infrastructure that powers modern AI and data-driven applications.

I bridge the gap between development and operations by building automated CI/CD pipelines, Kubernetes platforms, and MLOps workflows that enable teams to ship faster with confidence.

Currently focused on cost-optimized cloud architectures, real-time data platforms, and production-grade machine learning systems.

98%
Average Uptime Across Projects
65%
Average Cost Reduction Delivered

Tech Arsenal

Tools and technologies I use to turn complex problems into elegant solutions

Cloud

AWS Azure GCP

Containers & Orchestration

Docker Kubernetes Helm

Infrastructure as Code

Terraform Ansible Pulumi

AI & Data Engineering

Python Airflow Kafka Spark PyTorch

Featured Projects

Real impact. Production systems.

Journey

2024 — Present
Senior DevOps Engineer
FinTech Startup • Remote
  • Led migration to Kubernetes-based platform reducing infrastructure cost by 58%
  • Built end-to-end MLOps pipeline using Airflow + MLflow
2022 — 2024
Cloud & DevOps Engineer
SaaS Company
  • Designed multi-region Terraform infrastructure
  • Implemented GitOps with ArgoCD and Flux

Recent Writings

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MLOps

Building Cost-Efficient MLOps Pipelines on AWS

How we reduced ML training costs by 72% using spot instances and intelligent scheduling.
Kubernetes

Kubernetes Multi-Cluster GitOps with ArgoCD

A practical guide to managing 5+ production clusters with GitOps principles.
Data Engineering

From Zero to Production: Real-time Data Streaming with Kafka + Spark

Lessons learned building a fault-tolerant streaming platform.

Let's build something great together

Open to full-time roles, consulting, or interesting conversations about infrastructure and AI.

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