Highly experienced Devops professional, who has successfully migrated 3 companies from small startups to Fortune 10 companies to Kubernetes using industry standard tooling and amazing CI/CD for developers. I create easy to manage and maintain infrastructure that is budget friendly and highly reliable and resilient. Have worked in all areas in Cloud, Devops, SRE, Platforms, if there is something missing on my resume I usually have done it in this space. Also have a background in Software Engineering earlier in my career so I often roll up my sleeves to work on the code to optimize for the infrastructure when needed. Excellent project management skills, am self-sufficient and can manage a project from beginning to end ensuring its done as quick as possible to allow your business grow and adapt quickly to needs.

🚀 I have 5+ years of experience designing and delivering scalable cloud infrastructure, cloud architecture, DevOps engineering, and platform automation using AWS, Azure, Google Cloud Platform, Kubernetes, and Docker. I help SaaS applications, enterprise platforms, and cloud-native systems scale with stronger AWS architecture, Azure architecture, Google Cloud Platform deployment, Kubernetes orchestration, Docker containerization, Infrastructure as Code and CI/CD automation. ⚙️ What I deliver 🔹 AWS & Azure architecture — AWS, Azure, ECS, EKS, AKS, VPC setup, auto-scaling, load balancing, and cloud-native infrastructure design. 🔹 Kubernetes orchestration — Kubernetes, Helm, Helm charts, multi-cluster management, GitOps workflows, and cluster automation. 🔹 Docker containerization — Docker, optimized Docker images, multi-stage builds, registry management, and container performance tuning. 🔹 Terraform & Ansible — Terraform, Ansible, Infrastructure as Code, configuration management, and declarative infrastructure. 🔹 GitLab CI/CD & GitHub Actions — GitLab CI/CD, GitHub Actions, pipeline automation, deployment automation, and release workflows. 🔹 Jenkins pipelines — Jenkins, legacy CI/CD migration, hybrid workflows, and complex build orchestration. 🚀 Infrastructure as Code and cloud automation I design Infrastructure as Code systems using Terraform for multi-cloud environments across AWS, Azure, and Google Cloud Platform, and Ansible for configuration management at scale. My Kubernetes deployments use Docker, Helm, and automated CI/CD pipelines to support zero-downtime releases, repeatable environments, and production stability. I regularly work with GitLab CI/CD, GitHub Actions, and Jenkins to automate cloud delivery, reduce manual steps, and improve deployment speed. My cloud and DevOps work includes AWS architecture, Azure architecture, Google Cloud Platform setup, Kubernetes migration, Docker optimization, Terraform automation, Ansible configuration, GitHub Actions workflows, GitLab CI/CD pipelines, and Jenkins pipeline modernization. I help teams move from manual deployment processes to scalable Infrastructure as Code and reliable cloud automation. 📊 Results and impact 🔹 Reduced AWS costs by 25% through rightsizing and Kubernetes optimization. 🔹 Accelerated CI/CD from 2 hours to 8 minutes using GitHub Actions and Docker automation. 🔹 Migrated 50+ services to Azure AKS with Terraform and zero downtime. 🔹 Improved deployment reliability and platform consistency with Kubernetes, Docker, and GitOps workflows. 🛠️ Technical stack - Cloud: AWS (EKS, ECS, Lambda), Azure (AKS, App Service), Google Cloud Platform (GKE), multi-cloud infrastructure, cloud deployment - Orchestration: Kubernetes, Docker, Helm, multi-cluster management, container orchestration - CI/CD: Jenkins, GitLab CI/CD, GitHub Actions, deployment automation, release automation - IaC: Terraform, Ansible, CloudFormation, Infrastructure as Code, configuration management - Observability: Prometheus, Grafana, ELK Stack, monitoring, logging, alerting, performance tracking I work across the full lifecycle of cloud infrastructure, DevOps engineering, and platform operations — from architecture and provisioning to automation, monitoring, scaling, and production support. Whether the project needs AWS, Azure, Google Cloud Platform, Kubernetes, Docker, Terraform, Ansible, GitLab CI/CD, GitHub Actions, or Jenkins, I focus on building cloud systems that are easy to deploy, easy to maintain, and ready for growth. 🌐 Multi-cloud mastery I work comfortably across AWS, Azure, and Google Cloud Platform, building multi-cloud solutions that reduce vendor lock-in while still using the strengths of each platform. From Kubernetes on AWS EKS to Docker on Azure AKS and GKE with Terraform, I deliver consistent cloud architecture, repeatable deployment workflows, and reliable CI/CD automation across environments. My multi-cloud approach helps teams keep infrastructure flexible, scalable, and cost-aware. I also use Prometheus, Grafana, and ELK Stack to support observability, logging, monitoring, and alerting for cloud-native systems. That means better visibility into Kubernetes, Docker, AWS, and Azure environments, faster incident detection, and stronger operational control for SaaS applications and enterprise platforms. 🚀 Let’s scale your platforms Need AWS architecture, Azure architecture, Google Cloud Platform deployment, Kubernetes orchestration, Docker optimization, Terraform automation, Ansible configuration, GitLab CI/CD, GitHub Actions, or Jenkins pipelines? I build cloud infrastructure that scales efficiently, deploys reliably, and supports long-term growth. If you want cloud infrastructure, DevOps engineering, Infrastructure as Code, Kubernetes, Docker, AWS, Azure, and Google Cloud Platform handled with high keyword relevance and real delivery focus, let’s talk.

𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 | 𝗖𝗹𝗼𝘂𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 | 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗣𝘆𝘁𝗵𝗼𝗻 If you are in need of a partner that can assist you in 𝘀𝘁𝗮𝗯𝗶𝗹𝗶𝘇𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 and 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 that can keep scale with your business growth then you are in the right place. I have a simple strategy, which is to know your objectives, to get rid of complexity, and to 𝗼𝗳𝗳𝗲𝗿 𝗰𝗹𝗼𝘂𝗱 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 that run seamlessly in the real world. I am Muhammad Akhtar, an 𝗔𝗪𝗦, 𝗔𝘇𝘂𝗿𝗲, 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 and 𝗣𝘆𝘁𝗵𝗼𝗻 experienced 𝗗𝗲𝘃𝗢𝗽𝘀 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿. I also specialize in 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗶𝗻𝗴 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 and 𝗱𝗮𝘁𝗮 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 that are efficient and also simple to maintain and prepared to grow in the long term. I just do not fix issues, but rather create a platform that avoids the issues. 𝗖𝗹𝗼𝘂𝗱, 𝗗𝗲𝘃𝗢𝗽𝘀 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 - 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗬𝗼𝘂𝗿 𝗕𝗮𝗰𝗸𝗯𝗼𝗻𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: Your infrastructure must be 𝘀𝗲𝗰𝘂𝗿𝗲, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗮𝗻𝗱 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗮𝗯𝗹𝗲 to ensure that you can grow in a sustainable manner. This is where I come in. I build and manage: - Application security (EKS/AKS) - Docker & Helm deployments - Terraform and Infrastructure as Code - CI/CD pipelines (GitHub Actions, GitLab, Azure DevOps) End-to-end - Automated release and provisioning This is always aimed at minimizing the operational effort and maximizing deployment confidence. 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 - 𝗛𝗼𝘄 𝘁𝗼 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗮 𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝘀𝘆𝘀𝘁𝗲𝗺: With 𝗻𝗼 𝗿𝗲𝗮𝗹 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, there exists 𝗻𝗼 𝗿𝗲𝗮𝗹 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀. In order to supplement DevOps work, I design and optimize: - ETL/ELT pipelines - Python based automation - Airflow orchestration - Databricks & Spark workflows - PostgreSQL, MySQL and MSSQL SQL models Each pipeline that I create links up with your cloud ecosystem perfectly so that your data is transported reliably to its destination either to support analytics, reporting, or machine learning workflows. 𝗖𝗹𝗼𝘂𝗱 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 - 𝗔𝗪𝗦 𝗮𝗻𝗱 𝗔𝘇𝘂𝗿𝗲 𝗗𝗼𝗻𝗲 𝗥𝗶𝗴𝗵𝘁: Since your 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 and 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 are based on the cloud, I am a full-stack worker: - AWS, EC2, Lambda, RDS, Glue, S3, Step functions, Redshift, CloudWatch - ADF, Azure Devops, monitor, Cosmos DB, AAD All of my constructions assist in the security, scalability, cost effectiveness, and long-term maintainability. 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴, 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 - 𝗕𝗲𝗶𝗻𝗴 𝗶𝗻 𝘁𝗵𝗲 𝗙𝗼𝗿𝗲𝗳𝗿𝗼𝗻𝘁 𝗼𝗳 𝗧𝗵𝗶𝗻𝗴𝘀: To ensure the work above continues to provide 𝘃𝗮𝗹𝘂𝗲, I also set up: - Grafana monitoring and Prometheus - IAM & RBAC security - Workflow logging, alerting, and incident - Disaster recovery plans That makes the ecosystem complete; infrastructure, data, visibility and reliability. 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿 𝗪𝗲 𝗔𝗿𝗲 𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗦𝘁𝗿𝗼𝗻𝗴: In case you admire the person who can explain things in simple terms, does not use a lot of unnecessary wording and is oriented to the actual results, I would be happy to collaborate with you. I 𝗮𝗰𝘁 𝗳𝗮𝘀𝘁, 𝗺𝗮𝗶𝗻𝘁𝗮𝗶𝗻 𝗼𝗽𝗲𝗻 𝗰𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻 and 𝗺𝗮𝗸𝗲 𝘆𝗼𝘂𝗿 𝗼𝗯𝗷𝗲𝗰𝘁𝗶𝘃𝗲𝘀 𝗺𝘆 𝗼𝘄𝗻. Streamline your 𝗰𝗹𝗼𝘂𝗱 𝗮𝗻𝗱 𝗱𝗮𝘁𝗮 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 message me and I 𝗿𝗲𝘀𝗽𝗼𝗻𝗱 𝘄𝗶𝘁𝗵𝗶𝗻 𝟭𝟱 𝗺𝗶𝗻𝘂𝘁𝗲𝘀.

Hands-on knowledge of building/deploying infrastructure and operating high availability SaaS applications in multiple cloud platforms with a passion for cutting-edge web and DevOps technologies. DevOps & CI/CD: ✔CI/CD Pipeline Development Design, develop, and maintain CI/CD pipelines for applications and infrastructure. Integrate version control systems (e.g., Git) with build and deployment tools. Automate testing, build, and deployment workflows. ✔Infrastructure as Code (IaC) Use tools like Terraform, CloudFormation, or Ansible to provision and manage infrastructure. Automate environment creation for development, testing, and production. ✔Monitoring and Logging Implement monitoring tools (e.g., Prometheus, Grafana, Datadog) for application and pipeline performance. Integrate logging tools (e.g., ELK Stack, Splunk) to analyze and troubleshoot issues. ✔Version Control Management Manage source code repositories using Git. Enforce branching strategies (e.g., GitFlow) and code review workflows. ✔Containerization and Orchestration Containerize applications using Docker. Manage container orchestration with Kubernetes or ECS. ✔Deployment Automation Deploy applications to cloud platforms (AWS, Azure, GCP). Implement blue-green, canary, or rolling deployments for zero-downtime updates. ✔Collaboration and Security Collaborate with development, QA, and operations teams. Integrate security tools like, and CodeQL for security checks during CI/CD.

Building a great product is one thing. Making it stable, scalable, and deployment-ready is where I come in. Hi there, I'm Ajay, a DevOps Engineer with 6+ years of experience helping startups and growing businesses manage cloud infrastructure, automate deployments, and build reliable systems for AI and SaaS platforms. From secure cloud environments to full CI/CD pipelines, AIOps monitoring, MLOps workflows, and DevSecOps practices, I focus on building systems that reduce manual work, improve reliability, and scale smoothly as products grow. Cloud & Infrastructure: - AWS, Azure, GCP - Docker, Kubernetes (EKS, AKS, GKE) - Terraform, Ansible, CloudFormation - AWS Lambda, Azure Functions, Google Cloud Functions - GPU infrastructure and scalable environments for AI workloads CI/CD & Automation: - Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket Pipelines - Automated deployments, testing, and release workflows - Workflow automation using Airflow, n8n, Zapier, and Make AIOps & MLOps: - TensorFlow & PyTorch model deployments - Kubeflow, MLflow, Vertex AI workflows - LLM infrastructure scaling and monitoring - AI model retraining pipelines - OpenAI, Azure AI, and Hugging Face integrations - AI-driven incident detection and automated remediation DevSecOps & Monitoring: - Prometheus, Grafana, ELK Stack, CloudWatch, Datadog - SSL/TLS, OWASP practices, SonarQube, Snyk - Security baked into CI/CD, not bolted on after Databases & Storage: - PostgreSQL, MySQL, AuroraDB - MongoDB, DynamoDB - Redis, Memcached I build infrastructure that stays reliable under pressure, scales with growth, and removes deployment bottlenecks so teams can focus on building products instead of fixing systems. If you need someone who can handle cloud infrastructure, AIOps, MLOps, DevSecOps, and DevOps workflows end-to-end, let's talk. 📩 Send me a message with a quick summary of your project, and I will get back to you within a few hours with how I would approach it. Or book a free 15-minute call directly, no pressure, no sales pitch, just a clear plan for your infrastructure. Best regards, Ajay

Cloud infrastructure becomes expensive, unstable, and hard to manage when it grows faster than the systems around it. I help teams build, fix, automate, migrate, and optimize cloud environments across GCP, AWS, Kubernetes, Terraform, CI/CD, Linux, and monitoring. I’m a Top Rated Plus Cloud & DevOps Engineer with hands-on experience helping startups and engineering teams improve cloud reliability, reduce cloud costs, automate deployments, and move from manual infrastructure to production-ready cloud systems. My strongest cloud platforms are Google Cloud Platform and AWS. I work across both environments and can help with cloud architecture, Kubernetes, infrastructure automation, CI/CD pipelines, migrations, system administration, cost optimization, and security hardening. I usually get called in when: — GCP or AWS infrastructure is misconfigured, unstable, or difficult to manage — Cloud Run, Cloud SQL, Compute Engine, EC2, ECS, EKS, or Kubernetes workloads need troubleshooting — Cloud costs are increasing and the team needs optimization without breaking production — Terraform exists, but the infrastructure needs better structure, automation, or cleanup — CI/CD pipelines are unreliable, manual, or missing proper deployment automation — Applications need to be migrated between cloud providers or from servers to cloud-native infrastructure — Linux servers, Docker, Kubernetes, or cloud networking issues are slowing the team down — Teams need a reliable DevOps engineer who can investigate problems and fix them quickly What I can help with: GCP & AWS Cloud Infrastructure Designing, deploying, troubleshooting, and improving cloud environments using Google Cloud Platform and Amazon Web Services, including Compute Engine, Cloud Run, Cloud SQL, Cloud Build, IAM, service accounts, VPC, EC2, ECS, EKS, RDS, S3, Route53, CloudWatch, and related services. Kubernetes & Containers Docker, Kubernetes, Helm, EKS, GKE, containerized deployments, service configuration, ingress, autoscaling, troubleshooting, and production workload support. Terraform & Infrastructure as Code Terraform-based infrastructure automation, reusable modules, environment setup, infrastructure cleanup, remote state, cloud resource provisioning, and repeatable deployment workflows. CI/CD & DevOps Automation GitHub Actions, Jenkins, Bitbucket Pipelines, Cloud Build, Azure DevOps, Docker builds, automated deployments, release pipelines, and deployment troubleshooting. Cloud Cost Optimization Reviewing GCP and AWS usage to identify oversized resources, idle services, expensive databases, inefficient workloads, storage waste, and opportunities to reduce monthly cloud spend. Linux & System Administration Ubuntu, CentOS, Red Hat, Nginx, Apache, Bash scripting, server setup, migration, monitoring, security updates, SSL, DNS, and troubleshooting production server issues. Security & Reliability IAM review, service account permissions, secrets handling, network security, backup readiness, monitoring, logging, alerting, access control, and production reliability improvements. Cloud Migration GCP to DigitalOcean, server to cloud, VM to container, cloud-to-cloud migration, database migration, application deployment migration, and infrastructure modernization. How I work: I focus on practical, reliable infrastructure — not overcomplicated setups. I investigate the real issue, explain what is happening clearly, fix it properly, and document the work so your team can continue confidently after the project is complete. If your GCP, AWS, Kubernetes, Terraform, CI/CD, Linux, or cloud infrastructure is unstable, expensive, or difficult to manage, send me a message with what you are trying to fix. I’ll tell you what I would check first and how I can help. Keywords / Relevant Skills: DevOps Engineer, Cloud Engineer, GCP Engineer, Google Cloud Engineer, AWS Engineer, AWS DevOps Engineer, AWS Cloud Engineer, Site Reliability Engineer, SRE, Platform Engineer, Kubernetes Engineer, Terraform Engineer, CI/CD Engineer, Infrastructure Engineer, Cloud Architect, Automation Engineer, Cloud Migration, Cloud Cost Optimization, GCP Cost Optimization, AWS Cost Optimization, Cloud Security, Linux, Docker, Kubernetes, GKE, EKS, Terraform, Ansible, Jenkins, GitHub Actions, Bitbucket Pipelines, Cloud Build, Azure DevOps, Helm, Prometheus, Grafana, CloudWatch, Monitoring, Infrastructure as Code, IaC, High Availability, Disaster Recovery, Security Hardening, DevSecOps.

I'm a DevOps and Platform Engineer passionate about building reliable, scalable cloud infrastructure and automating everything that can be automated. Currently at Incorta, I design internal developer platforms and create end-to-end serverless automation using AWS Lambda, Step Functions, SSM, and API Gateway. This has turned slow, manual provisioning processes into fast, one-click deployments, cutting setup time from hours to minutes and eliminating human errors along the way. Before Incorta, I interned as a DevOps/SRE engineer at EFG Holding, where I scripted automation with PowerShell, set up CI/CD pipelines in Azure DevOps, configured Nginx as a reverse proxy and load balancer, and brought in observability with OpenTelemetry, Prometheus, and Jaeger on OpenShift. Earlier, as a Software Engineer intern at Brightskies, I built Jenkins pipelines, developed a Qt6 C++ GUI training app with strong OOP design, integrated testing with Pytest/Allure/Jira, and automated workflows using Python, Bash, and more. I'm multi-cloud certified (AWS Certified Cloud Practitioner, GCP, Azure, plus KCNA from the Linux Foundation) and comfortable across AWS (EC2, EKS, Lambda, RDS, CloudFormation), Azure, GCP, Kubernetes, Docker, Terraform, Ansible, Jenkins, GitHub Actions, Azure DevOps, Prometheus, Grafana, ELK, and scripting in Python, Bash, Go, PowerShell, and C++. I love solving real problems—whether it's reducing deployment time by 70%, optimizing costs by 50% through smart architecture, hardening container security with distroless images and SBOMs, or deploying full 3-tier apps on EKS with React, Flask, PostgreSQL, and ALB.

I'm the Founder & CEO of two AI companies - UppLabs (Top 1% AI development agency on Clutch & Upwork) and OpsWorks Co. (DevOps and Cloud consultancy, AWS, GCP amd Azure Partner) - with a combined team of 50+ certified engineers. BY THE NUMBERS: 🏆 100+ AI, DevOps, and software projects delivered 🏆 $2M+ combined earned on Upwork, 100% Job Success Score 🏆 $100M+ in client revenue generated 🏆 100+ certifications across the team 🏆 60,000+ hours logged, 200+ completed contracts TWO THINGS WE DO BETTER THAN ALMOST ANYONE ON UPWORK: 🤖 1. BUILD AI-POWERED SOFTWARE Custom AI agents, RAG pipelines, production ML models, and full-stack platforms for Fintech, Healthcare, and PropTech. Not ChatGPT wrappers - real systems that process transactions, automate clinical workflows, and make business decisions. Clients include Deloitte, Citibank, Disney, and TimelyCare. ⚙️ 2. BUILD INFRASTRUCTURE THAT RUNS ITSELF AI-augmented DevOps, AWS/GCP/Azure architecture, and intelligent monitoring that self-heals, auto-scales, and cuts cloud costs. ETX Capital cut infrastructure spend by 50%. Syndigo cut costs by 92%. Vodafone improved efficiency by 40%. HOW WE WORK - AI-NATIVE FROM DAY ONE: We don't just build AI products - we use AI agents and modern automation internally to deliver faster and better than traditional teams. 🛠️ On the development side: - AI-assisted architecture design and code generation to ship features 3x faster - Agentic code review pipelines that catch bugs and security issues before humans do - LLM-powered test generation and documentation — zero manual overhead - AI pair programming across the entire engineering team as standard practice 🔁 On the DevOps side: - AI agents that monitor infrastructure 24/7, detect anomalies, and self-heal before incidents occur - Intelligent CI/CD pipelines with LLM-powered deployment gating and rollback triggers - Agentic cost optimization that continuously rightsizes resources and eliminates waste - AI-driven incident response that diagnoses, escalates, and resolves issues autonomously 💡 The result: your product gets built faster, your infrastructure costs less, and your team spends zero time on problems that machines can handle. WHAT YOU GET: ✅ Production-ready AI: agents, LLM pipelines, fraud detection, clinical AI, compliance automation ✅ AI-native web and mobile apps built to scale (React, Next.js, React Native) ✅ Zero-downtime infrastructure on AWS, Azure, GCP with Kubernetes and Terraform ✅ Full compliance: HIPAA, SOC2, PCI DSS, ISO 27001, GDPR, OWASP ✅ Cloud cost reduction of up to 90% using AI-driven optimization ✅ MVPs shipped in weeks, not months - 3x faster time-to-market Whether you need an intelligent product built from scratch or infrastructure that stops costing you sleep - let's talk. 🚀

Clients typically come to me when their infrastructure starts limiting growth instead of supporting it. I approach DevOps differently focused on automation, reliability, and long-term scalability. With 5 years of experience in DevOps, cloud engineering, and system administration, I help businesses build scalable, reliable, and cost-efficient systems on AWS and Azure. DEVOPS & CLOUD ARCHITECTURE: As a DevOps Engineer, I design and manage cloud infrastructure that is built for performance, scalability, and long-term stability. • Cloud architecture on AWS and Azure — scalable, secure, and production-ready environments • Infrastructure as Code using Terraform and CloudFormation • Designing microservices and container-based infrastructure using Docker and Kubernetes • High-availability and fault-tolerant system design across cloud platforms • Environment setup for startups to enterprise-grade systems CI/CD & AUTOMATION: I build and optimize CI/CD pipelines that reduce deployment time and improve release confidence. • CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, and AWS CodePipeline • Automated build, test, and deployment workflows • Zero-downtime deployments using blue-green and rolling strategies • Release management and version control automation • Workflow optimization to reduce manual effort and human errors CONTAINERIZATION & ORCHESTRATION: I work extensively with modern container-based systems to ensure scalable and portable deployments. • Docker containerization for applications and services • Kubernetes (EKS, AKS) for orchestration and scaling • Helm charts for Kubernetes deployments • Container security and image optimization • Managing production workloads on Kubernetes clusters MONITORING, LOGGING & RELIABILITY: I ensure systems are always observable, stable, and easy to troubleshoot. • Monitoring using Prometheus, Grafana, AWS CloudWatch, and Azure Monitor • Centralized logging using ELK Stack (Elasticsearch, Logstash, Kibana) • Alerting and incident response setup • Performance tuning and system optimization • Proactive issue detection and reliability engineering SECURITY & DEVSECOPS: Security is integrated into every stage of the DevOps lifecycle. • IAM, role-based access control, and policy management • Secure CI/CD pipelines and secrets management • SSL, network security, and firewall configurations • Vulnerability scanning and compliance practices • DevSecOps implementation across cloud environments AWS & AZURE EXPERTISE: I work across both AWS and Azure depending on project needs. • AWS — EC2, S3, RDS, Lambda, ECS, EKS, CloudFormation, IAM, CloudWatch • Azure — App Services, AKS, Azure DevOps, Azure Functions, Azure Monitor, Azure AD • Hybrid and multi-cloud architecture design • Cloud migration from on-premise to AWS/Azure • Cost optimization and performance tuning ADDITIONAL DEVOPS EXPERTISE: • Linux system administration (Ubuntu, CentOS, Amazon Linux) for production-grade server environments • NGINX and Apache web server configuration, optimization, and reverse proxy setup • Kubernetes cluster management, scaling, troubleshooting, and workload optimization • AWS ECS, Docker Swarm, and container orchestration for distributed applications • GitOps workflows using ArgoCD and automated Kubernetes deployments • Infrastructure monitoring, log aggregation, and observability best practices • Auto-scaling infrastructure for high-traffic applications and microservices environments • Backup strategies, disaster recovery planning, and high-availability infrastructure setup • Secure cloud networking using VPCs, subnets, NAT gateways, VPNs, and firewall policies • CI/CD optimization for faster deployments, rollback strategies, and release automation • Performance optimization for cloud servers, APIs, databases, and containerized applications • Experience working with MySQL, PostgreSQL, MongoDB, and Redis in cloud-native environments • End-to-end DevOps implementation for startups, SaaS products, and enterprise applications • Server migration projects. INDUSTRIES & PROJECT EXPERIENCE: I’ve worked with startups, agencies, and enterprises across: • SaaS platforms — scalable cloud infrastructure and CI/CD pipelines • E-commerce — high-availability systems and auto-scaling environments • Fintech — secure and compliant infrastructure • Healthcare — reliable and secure data handling systems • Logistics — real-time tracking and system optimization MY APPROACH: Every project is different. Sometimes you need a DevOps Engineer to fix pipelines. Sometimes you need someone to build your entire infrastructure from scratch. I start by understanding your system, identify gaps, and then design and implement solutions that actually work in production. From infrastructure setup CI/CD monitoring scaling security, I handle the complete DevOps lifecycle on AWS and Azure.

𝟏𝟎𝟎% 𝐂𝐥𝐢𝐞𝐧𝐭 𝐒𝐚𝐭𝐢𝐬𝐟𝐚𝐜𝐭𝐢𝐨𝐧. 𝐅𝐥𝐞𝐱𝐢𝐛𝐥𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐚𝐜𝐫𝐨𝐬𝐬 𝐭𝐢𝐦𝐞 𝐳𝐨𝐧𝐞𝐬. 𝐏𝐫𝐨𝐯𝐢𝐝𝐞 𝟐𝟒/𝟕 𝐬𝐮𝐩𝐩𝐨𝐫𝐭 𝐚𝐧𝐝 𝐡𝐞𝐥𝐩. - Extensive experience in designing, deploying, and managing AWS infrastructure, including EC2, S3, RDS, Lambda, VPC, IAM, and Route53. - Advanced skills in creating, managing, and orchestrating Docker containers for consistent and reliable application deployments. - Expertise in building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab, and AWS CodePipeline to automate the software delivery process. - Strong background in Linux system administration, shell scripting, and command-line tools for automating tasks. - Skilled in scripting (Bash/Python), automation, and integration tasks. - Proficient in Docker and SSL, ensuring secure and scalable application deployments. - Experience in setting up and managing monitoring and logging solutions like CloudWatch, Prometheus, and Grafana to ensure application performance and reliability. - Knowledgeable in implementing security best practices, including IAM, security groups, network ACLs, encryption, and TLS. - Expertise in AWS networking, including VPC design, subnets, routing, and load balancing. - Adept at diagnosing and resolving complex issues to ensure smooth operations and minimize downtime. - Skilled in creating comprehensive technical documentation and developing efficient processes and procedures. - Focus on optimizing cloud architecture for cost-effectiveness, with clients seeing AWS bill reductions of 25% to 35% through strategic solutions. - Conducting Proof of Concepts (POCs) to explore new technologies and solutions I'm quick to respond and eager to help with your projects. Let’s team up and create something awesome together!