⭐ 100% Job Success | 🌟 Rising Talent | 🚀 Linux & DevOps Engineer I help founders and developers deploy, fix, and scale their infrastructure. From broken Docker containers and Nginx issues to full VPS deployments with SSL and CI/CD — I focus on solving real infrastructure problems fast and cleanly. What I work with: • Docker & Docker Compose • Linux / Ubuntu servers • Nginx & reverse proxies • CI/CD pipelines • Cloud & VPS deployments • FastAPI & PostgreSQL • Kubernetes basics • Infrastructure troubleshooting I already have hands-on experience maintaining Linux infrastructure, deploying web services, configuring SSL, and troubleshooting production issues. If your app needs deployment, debugging, or a stable server setup — I can help.

I build production AI agents that actually do the work: voice agents that book appointments, RAG agents that read your docs, browser agents that fill forms, and multi-agent systems that coordinate across tools, then I deploy them on infrastructure that holds up under real load. Most "AI integrations" look great in a demo and fall apart in production. Hardcoded timestamps, brittle prompts, missing edge cases, they ship, then quietly fail at 3 AM. Mine don't. I catch that before launch, not after a client complaint. 8 years in software, 29 jobs delivered on Upwork, 93% Job Success, $20K+ earned. Recent example: a Vapi appointment-booking agent for a wellness clinic where I caught and patched production bugs, hardcoded timestamps, test placeholders, before go-live. 🎯 What I build ▸ AI Voice Agents (Vapi, Retell, Bland): Inbound and outbound calling for appointment booking, sales qualification, and support. Custom tools for slot availability, date validation, CRM writebacks, and graceful handoff to humans. ▸ Agentic RAG & LLM Integrations: Production RAG pipelines over PDFs, product catalogs, and internal docs. Tool use, memory, and routing across OpenAI, Claude, Gemini, and LangChain. Local models (Ollama) for data-residency requirements, plus MCP server integrations. ▸ Workflow Automation (n8n, Make, Zapier): Lead routing, document generation, system-to-system sync, and multi-step approval chains. If your team copies data between tools or regenerates the same documents repeatedly, that workflow is replaceable: I scope, build, and document it in days. ▸ Multi-Agent Systems (LangGraph, CrewAI, AutoGen): Orchestrated workflows where specialized agents handle research, writing, validation, and escalation. State machines, shared memory, retry logic, and human-in-the-loop checkpoints. ▸ Browser & Computer-Use Agents: Agents that navigate web apps, fill forms, and complete multi-step workflows. Built for tools that don't have good APIs. ▸ DevOps & Deployment (AWS, Docker, CI/CD): Building the agent is half the work. I deploy on AWS (EC2, ECS, Lambda), containerize with Docker, set up CI/CD, and add observability (logging, prompt tracing, cost monitoring) so your AI doesn't ship and silently fail. 📊 How I work ✔ Scoped proposal within 24 hours of a discovery call ✔ Weekly demo cycles, not month-long silence ✔ Production-grade code: logging, error handling, edge-case coverage ✔ Fixed-scope quotes, no surprise hourly creep ✔ Documentation your in-house team can maintain ⭐ Recent client feedback "Excellent experience on a complex Agentic RAG system. Strong expertise in building production-grade AI solutions integrating product catalogs, PDFs, and backend systems." 📞 Next step Send me the problem you're trying to solve, not a feature spec. I'll come back with a scoped approach, fixed price, and timeline. If we're a fit, we start. If not, you walk away with a clearer plan than you came in with.

I’m an Azure-Certified Full-Stack Developer with around 5 years of experience, with a strong focus on backend development and building scalable, cloud-based systems. 🤖 Use tools like GitHub Copilot to speed up development and improve productivity 🧠 Skilled in Clean Architecture, Domain-Driven Design (DDD), and Microservices 🖥️ Developed dynamic and complex frontends using Angular and Blazor WebAssembly 🗄️ Strong experience with relational databases, including PostgreSQL and SQL Server ⚙️ Experienced in building CI/CD pipelines and Infrastructure as Code (Bicep) for multi-environment deployments ☁️ Hands-on experience with Azure services (compute, storage, messaging, identity, monitoring) 🧩 Systems I've Built * Project & task management platforms * Identity & authorization systems * Real-time chat applications * Background verification systems * Multi-tenant HRMS solutions * Digital product agreements & invoicing systems 🎓 Certifications * Microsoft Certified: Azure Developer Associate (AZ-204)

Certified AWS Solutions Architect and AWS DevOps Engineer with 17 years of experience in software delivery and cloud infrastructure. With 850+ hours on Upwork and 30+ successful cloud projects, I operate as both a hands-on AWS DevOps engineer and a strategic AWS architect who designs and implements reliable, scalable platforms on Amazon Web Services. What I do as an AWS DevOps engineer and AWS architect My journey began as a full stack developer working with Ruby on Rails, Python, Node.js, and Java. Over time it evolved into deep specialization in AWS DevOps automation, container platforms, and cloud architecture. Today, as a certified AWS architect and AWS DevOps professional, I bridge the gap between development and infrastructure - delivering platforms that are automated, observable, and built to scale. The perspective of an AWS architect who also executes as an AWS DevOps engineer is rare - and it is what clients come to me for. As an AWS architect, I design secure, highly available systems on Amazon Web Services using EC2, S3, Lambda, CloudFront, and Amazon ECS. My AWS DevOps approach ensures that every AWS architect decision is backed by automation, CI/CD pipelines, and operational excellence across Kubernetes clusters. The role of an AWS architect is not just to draw diagrams - it is to own the outcome from design through deployment. Every AWS architect engagement I take on starts with understanding the business constraints before touching a single resource. A senior AWS architect has to think in failure modes — not just happy paths. That mindset is what makes an AWS architect valuable beyond the initial design phase. AWS DevOps methodology and automation Automation is at the core of every AWS DevOps engagement I take on. I implement infrastructure as code using Terraform and AWS CloudFormation, and build CI/CD pipelines with Git, Jenkins, and Azure DevOps. As an AWS DevOps engineer, I apply DevSecOps principles including secrets management, IAM least-privilege policies, VPC network segmentation, and audit logging - supporting compliance requirements such as SOC 2, HIPAA, and PCI DSS. I integrate monitoring with Prometheus and Grafana, and design fault-tolerant Kubernetes workloads. Every AWS DevOps pipeline I build is designed for repeatability, auditability, and zero-downtime deployments. Security, reliability, and scalability are embedded in every AWS DevOps project. Whether I am working as an AWS architect designing multi-account AWS organizations or as an AWS DevOps engineer optimizing container workloads, the standard remains the same: systems must be maintainable, observable, and resilient. That is the AWS DevOps discipline I bring to every engagement and the reason clients come back. My technical stack as an AWS architect and AWS DevOps engineer As a certified AWS architect, my core stack includes Amazon Web Services, Kubernetes, Docker, Terraform, AWS CloudFormation, CI/CD, Git, and Jenkins. My AWS DevOps toolchain extends to Azure DevOps, Prometheus, Grafana, and Python scripting. With a background as a full stack developer, I bring application-layer awareness into every AWS architect decision - understanding how services behave under load, not just how they are provisioned. That is the difference between an AWS architect who designs in theory and a battle-tested AWS architect who has run systems in production. What separates my AWS DevOps practice from a standard infrastructure role is the combination of depth and range. I work as an AWS architect who can design the system and as an AWS DevOps engineer who can implement it. That dual capability - AWS architect on one side, AWS DevOps engineer on the other - means fewer handoff gaps, faster delivery, and better outcomes for every project. Finding the right AWS architect for a complex platform matters as much as finding the right engineer to run it. Why clients hire me as an AWS architect and AWS DevOps engineer Clients partner with me when they need an AWS architect who can translate business requirements into cloud infrastructure, or an AWS DevOps engineer who can automate and operationalize that infrastructure end to end. My 17 years of experience as an AWS DevOps practitioner, AWS architect, and hands-on AWS architect means I have seen what breaks platforms at scale - and how to prevent it. Whether you need AWS DevOps automation, Kubernetes infrastructure, Terraform-based IaC, or a senior AWS architect to design your next cloud platform, I would be glad to help build and scale it the right way. Let's connect.

I’m a Full‑Stack, DevOps & AI Engineer with 7 years of hands‑on experience and a Computer Science degree. I specialize in building scalable, secure, AI‑powered applications using modern JavaScript/TypeScript stacks, cloud‑native serverless architectures, and advanced LLM workflows. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 ►︎𝗗𝗘𝗩𝗘𝗟𝗢𝗣𝗠𝗘𝗡𝗧 : JavaScript, TypeScript, React, Redux, Tailwind CSS, jQuery, CSS3, HTML5 ᴅᴀᴛᴀʙᴀsᴇs: MySQL, Microsoft SQL Server, PostgreSQL, MongoDB, MariaDB ►︎ 𝗗𝗘𝗩𝗢𝗣𝗦 : AWS (EC2, S3, RDS, CloudFront, Lambda), Google Cloud Platform (GCP), Digital Ocean, Docker ►︎ 𝗦𝗘𝗥𝗩𝗘𝗥𝗟𝗘𝗦𝗦: AWS Lambda, API Gateway, S3, DynamoDB, Aurora Serverless, CloudFront, SQS/SNS/EventBridge, Cognito, Serverless Framework, Terraform, AWS CDK, Vercel, Netlify ►︎ 𝗗𝗔𝗧𝗔𝗕𝗔𝗦𝗘 : MySQL, Microsoft SQL Server, PostgreSQL, MongoDB, MariaDB ►︎ 𝗦𝗘𝗖𝗨𝗥𝗜𝗧𝗬: Ensuring data integrity with encryption, IAM, and compliance with GDPR, HIPAA, and PCI-DSS standards. 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗛𝗶𝗴𝗵𝗹𝗶𝗴𝗵𝘀 ►︎ Built AI‑powered automation systems with LLM agents and RAG pipelines ►︎ Delivered full-stack SaaS platforms with serverless backend and scalable frontend ►︎ Implemented multi‑cloud DevOps pipelines and zero‑downtime deployments ►︎ Developed intelligent search, OCR workflows, recommendation systems ►︎ Designed secure infrastructures compliant with strict data security regulations ►︎ Migrated monoliths to microservices and cloud‑native architectures 𝗜𝗡𝗗𝗨𝗦𝗧𝗥𝗜𝗘𝗦 Fintech • SaaS • AI • E-Commerce • Marketplace • Blockchain • ERP • CRM • B2B • B2C • DTC • EdTech • Healthcare • Entertainment • Startups • MVP • Enterprises 𝗖𝗟𝗜𝗖𝗞 “𝗠𝗘𝗦𝗦𝗔𝗚𝗘” 𝗢𝗥 “𝗜𝗡𝗩𝗜𝗧𝗘” 𝗙𝗢𝗥 𝗙𝗥𝗘𝗘 𝗘𝗦𝗧𝗜𝗠𝗔𝗧𝗘!

Dear Clients, I am a Certified Dev Ops professional and happy to help you out with my skills and experience. My Carrier journey started as support engineer for one of the most popular workload automation tool used by 300+ licensed customers across the globe which included some of the fortune 500. The role gave me chance to understand the most complex IT operations. My role involved deploying the new releases, Testing the product on live and resolving the support tickets. Automating the testing of Job Scheduler gave me chance to learn automating the test script using Python. and shell scripts. I got got exposure working with various Operating systems as there are more then 300 licensed customer covering the popular OS. This role also involved working with cloud platform like AWS , Google Cloud and Azure. After having acquired these skills I was encouraged to take the role of an Dev Ops engineer and recently I completed my AWS DevOps professional certification. During my free time I developed and deployed websites in WordPress and PHP. This improved my coding skills and helped me to provide value addition to my clients. I completely understand the importance for below softskills for a DevOps Engineer and I have tried to imbibe them, which includes: - Customer First Mind Set - Good Listening and Communication Skills - Flexibility - Collaboration - Impact analysis Looking forward to hearing from you. Regards, Kanika Agrawal Lead DevOps Consultant

Here’s a clean, Upwork-ready rewrite you can paste into your profile. I kept it human, specific, and keyword-rich for search—while showcasing your 14+ years across cloud, DevOps, and automation. ✅ Cloud Architect & DevOps Engineer | AWS • GCP • Azure | Kubernetes • Terraform • CI/CD • DevSecOps I help companies design, secure, and automate cloud platforms that scale—from zero to production and beyond. With 14+ years across cloud engineering, DevOps architecture, and infrastructure automation, I’ve built end-to-end systems that start from a blank account and evolve into resilient, compliant, cost-efficient production environments. I work hands-on across AWS, GCP, and Azure; design robust networking (VPC/VNet, peering, VPN, Direct Connect/Interconnect, Transit); and automate everything with Terraform/Pulumi and modern CI/CD. Security and observability are baked in from day one. What I do Greenfield to Production: Ground-up cloud architecture, IaC, GitOps, and day-2 operations. Secure by Design: Network segmentation, least-privilege IAM, secrets, policy as code, and DevSecOps pipelines. Kubernetes at Scale: EKS/GKE/AKS design, cluster add-ons, multi-cluster/multi-region, HPA/VPA, autoscaling. High Throughput Systems: Architecting for millions of requests/second with caching, queues, and horizontal scale. Cost & Reliability: Right-sizing, spot strategy, autoscaling, SLOs, and disaster recovery runbooks. Recent impact (high level) Designed multi-region Kubernetes + GitOps platform to support spiky workloads with safe blue/green rollouts. Implemented full DevSecOps pipeline (SAST/DAST/Secrets/Dependency scanning) with policy gates and audit trails. Delivered VPC/VNet designs with private service access, egress controls, and zero-trust access patterns. Services Cloud Infrastructure ✔ Multi-cluster, multi-region VPC/VNet architectures with zonal resilience ✔ Security group / firewall / route audits ✔ Subnetting, routing, NAT/egress, private endpoints, WAF, IDS/IPS integration ✔ Connectivity: Direct Connect / Interconnect / ExpressRoute, IPSec VPN, Transit topologies, VPC peering ✔ AWS services: EKS, EC2, Lambda, RDS, Aurora, S3, CloudFront, ALB/NLB, Systems Manager, IAM DevOps & Automation ✔ Terraform (modules, workspaces, Terragrunt), Pulumi ✔ CloudFormation where required ✔ CI/CD: GitHub Actions, GitLab CI, Azure DevOps, Jenkins, CircleCI, TravisCI ✔ GitOps with Argo CD / Flux, progressive delivery (blue/green, canary) ✔ DevSecOps: SAST/DAST/Secrets/Dependency scanning, SBOMs, policy as code (OPA/Conftest), image signing Kubernetes & Containers ✔ Managed K8s: EKS / GKE / AKS, plus K3s for edge/lab ✔ Helm chart authoring & lifecycle, Kustomize overlays, ApplicationSets ✔ Dockerization of .NET, Java, PHP, Go, Python apps; multi-stage builds; security baselines ✔ Observability: Prometheus/Grafana, logging, tracing; alerts tied to SLOs ✔ Autoscaling: HPA/VPA/Cluster Autoscaler; spot/priority classes; node pools & taints/tolerations How I work Architecture first, automation always: Clear diagrams, ADRs, and repeatable IaC. Security & compliance built-in: Least-privilege IAM, encryption, image/signature policies, supply-chain controls. Operability: Dashboards, alerting, runbooks, and DR/backup strategies you can actually use. Transparent delivery: Milestone plans, PR-driven changes, and documentation for easy handover. Tech stack (abridged) Cloud: AWS, GCP, Azure IaC: Terraform, Terragrunt, Pulumi, CloudFormation CI/CD: GitHub Actions, GitLab, Azure DevOps, Jenkins, CircleCI, TravisCI Kubernetes: EKS, GKE, AKS, K3s • Helm, Kustomize, Argo CD/Flux • Ingress/WAF/Cert-Manager Security: IAM, KMS/Envelope, OPA/Conftest, SAST/DAST, image signing, SBOMs Data & Runtime: RDS/Aurora, S3/GCS/Blob, Redis, MQ, Lambda/Functions, container registries Observability: Prometheus, Grafana, Loki/ELK, OpenTelemetry Engagement options Architecture & Implementation: Design → IaC → CI/CD → secure rollout. Platform Hardening:Security review, IAM/VPC hardening, cost/risk reduction. Kubernetes Enablement:Cluster build-out, add-ons, GitOps, SRE baselines. Migrations: Lift-and-shift with refactoring for scale, reliability, and cost. Let’s talk If you need a secure, automated cloud foundation—or want to level up what you already have—send a message with your goals and timelines. I’ll propose a practical plan with clear milestones and outcomes.

5+ YEARS OF EXPERIENCE As Cloud & Platform Engineer with hands-on experience designing, building, and operating modern cloud-native platforms across AWS, Google Cloud Platform (GCP), and Microsoft Azure. I work across infrastructure, Kubernetes, monitoring, security, automation, scripting, and cloud cost optimization, helping teams run scalable, secure, and cost-efficient production systems. ☁️ Multi-Cloud Infrastructure & Core Services: • AWS: EC2, VPC, ALB/NLB, Auto Scaling, RDS, DynamoDB, S3, IAM, Route 53 • GCP: Compute Engine, VPC, Cloud Load Balancing, Cloud SQL, Cloud Storage, IAM • Azure: Virtual Machines, Virtual Network, Azure Load Balancer, Azure SQL, Blob Storage, Azure AD • Cloud networking, high availability, fault tolerance, and scalability design ☸️ Kubernetes & Container Platforms: • Kubernetes (production workloads) • Amazon EKS, Google GKE, Azure AKS • Docker • Helm, Kustomize • Ingress controllers (NGINX, cloud-native ingress) • Service networking and autoscaling (HPA, rolling updates) ⚙️ Infrastructure Automation & IaC: • Terraform • Infrastructure as Code best practices • Environment provisioning and lifecycle management • Cloud resource standardization and reuse 🚀 CI/CD, Deployment & DevOps Tooling: • GitHub Actions • GitLab CI/CD • Jenkins • Argo CD (GitOps) . Octopus deploy • Automated build, test, and deployment pipelines • Zero-downtime deployment strategies 📊 Monitoring, Logging & Observability: • Prometheus • Grafana • AWS CloudWatch • GCP Cloud Monitoring & Logging • Azure Monitor & Log Analytics • Centralized logging, metrics, alerting, and dashboards 🔐 Security, Identity & Compliance: • Kubernetes RBAC • Secrets management (Kubernetes Secrets, cloud-native secret services) • Cloud IAM (AWS IAM, GCP IAM, Azure AD) • Secure container workloads and least-privilege access • Basic vulnerability awareness and platform hardening 📦 Artifact & Container Registry Management: • Amazon ECR • Google Artifact Registry • Azure Container Registry • Image versioning, tagging, scanning, and lifecycle cleanup 💰 FinOps & Cost Optimization: • Kubecost (Kubernetes cost monitoring) • Cloud budgets and cost dashboards • Resource requests/limits optimization • Identifying idle, underutilized, and over-provisioned resources • Cost-aware scaling strategies ⚙️ Automation & Scripting: • Bash / Shell scripting • Python for automation tasks • Workflow automation and operational tooling • Linux system administration 🛠️ Operations, Reliability & Support: • Production troubleshooting and root cause analysis • Performance tuning and capacity planning • High availability and resilience improvements • Documentation, runbooks, and team handover I work with startups and engineering teams that need strong cloud platforms — whether setting up multi-cloud infrastructure, running Kubernetes at scale, improving observability and security, or controlling cloud spend.

𝗦𝗲𝗻𝗶𝗼𝗿 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻, 𝗜𝗮𝗖, | 𝗔𝗪𝗦, 𝗚𝗖𝗣, 𝗔𝘇𝘂𝗿𝗲 | 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺, 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻𝘀, 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 | 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝗶𝘁𝗲 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝟭𝟮+ 𝘆𝗿𝘀 𝗘𝘅𝗽) I help companies design, automate, and scale reliable cloud platforms that ship software faster and operate efficiently. With 12+ years in DevSecOps & Cloud Engineering, I specialize in building secure, high-availability systems across AWS, Azure, and GCP, empowering teams to deliver with confidence and speed. Alongside traditional DevOps excellence, I architect modern AI-driven platforms powering LLM applications, vector DB systems, GPU workloads, and automated workflows. From Kubernetes-based AI clusters to n8n and Airflow automation pipelines, I ensure AI products move smoothly from prototype to scalable production. ✅ 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗜’𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 𝗵𝗮𝘃𝗲: 👉 Reduced deployment times by up to 70% through automated CI/CD pipelines. 👉 Optimized cloud spend by 25–40% with better architecture and monitoring. 👉 Achieved 99.99% uptime with resilient Kubernetes clusters and HA systems. ⚙️ 𝗦𝗲𝗿𝘃𝗲𝗿 𝗔𝗱𝗺𝗶𝗻𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 👉 Linux Server Administration (Ubuntu, CentOS, RHEL) 👉 Networking & Security (VPC, VPNs, DNS, SSL, Firewalls, Load Balancers) 👉 System Hardening & Access Control (IAM, RBAC, MFA) 👉 Database & Caching Systems (MySQL, PostgreSQL, MongoDB, Redis, Memcached) 👉 Scripting & Automation (Bash, Python) 👉 Virtualization & Compute (VMware, EC2, Compute Engine, Azure VMs) 🛠️ 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 | 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 👉 Cloud Platforms: AWS, Azure, GCP, DigitalOcean, Alibaba Cloud 👉 Containerization & Orchestration: Docker, Kubernetes, Helm, OpenShift 👉 Infrastructure as Code: Terraform, Ansible, CloudFormation, Puppet 👉 CI/CD Pipelines: Jenkins, GitHub Actions, GitLab CI, Bitbucket Pipelines 👉 Monitoring & Observability: Prometheus, Grafana, ELK, Datadog, New Relic 👉 Secret Management & Compliance: HashiCorp Vault, SOC2 / ISO27001 best practices 👉 Cost Optimization & FinOps Practices 🤖 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 👉 AI & MLOps Platforms: SageMaker, Vertex AI, Hugging Face, Kubeflow, MLflow 👉 Vector Databases: Pinecone, Qdrant, Redis-Search / Redis-Stack 👉 LLM & GPU Workloads: Distributed model hosting, autoscaling, inference optimization 👉 AI-Ready Kubernetes: GPU nodes, inference services, model rollout workflows 👉 Workflow Automation: n8n, Airflow, event-driven pipelines 👉 Serverless AI & Edge Deployments: Lambda, Cloud Run, Vercel Edge Functions 👉 API & Model Integration: LangChain, OpenAI stack, secure model gateways 🎯 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 I build secure, scalable, and automated cloud and AI-ready infrastructure that helps teams ship faster, reduce costs, and operate with confidence. My focus is DevSecOps-driven platforms, efficient CI/CD delivery, and reliable Kubernetes environments built for real-world scale. I also deploy modern AI infrastructure, including GPU-based model serving, vector databases, and automation workflows with n8n and Airflow, taking AI products from prototype to production smoothly. The result: systems that are resilient, cost-efficient, disaster-ready, and built to grow with your business. 📌 𝗪𝗵𝘆 𝗛𝗶𝗿𝗲 𝗠𝗲? If you need a hands-on DevOps partner who can design, automate, and optimize your infrastructure while ensuring speed, security, and scalability - I can help. I don’t just build systems; I make sure they deliver business value through efficiency, resilience, and reduced costs. 𝗟𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲 𝘆𝗼𝘂𝗿 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀, 𝗮𝗻𝗱 𝗺𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝗥𝗢𝗜 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀. 👉 𝗛𝗮𝘀𝗵𝘁𝗮𝗴𝘀 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗺𝗲 #DevOps #DevSecOps #SRE #CloudArchitect #AWS #Azure #GCP #Kubernetes #Docker #Terraform #Ansible #GitOps #CICD #Jenkins #GitHubActions #GitLabCI #ArgoCD #Helm #InfrastructureAsCode #PlatformEngineering #CloudSecurity #Monitoring #Prometheus #Grafana #ELK #Datadog #Serverless #Automation #n8n #Airflow #WorkflowAutomation #MLOps #AIInfrastructure #LLMDeployment #GPUCloud #SageMaker #VertexAI #HuggingFace #LangChain #VectorDB #Pinecone #Qdrant #Redis

I'm Muhammad, a Senior Azure Cloud & DevOps Engineer with 5+ years of experience delivering production-grade infrastructure for Fintech, Healthcare, and Government clients across Qatar, USA, and Pakistan. I hold active Microsoft certifications (AZ104 & AZ400) and currently lead cloud architecture at Applab Qatar while serving global clients on Upwork. I don't just set up pipelines. I build end-to-end DevOps ecosystems that make your dev team faster, your deployments safer, and your infrastructure costs lower. ──────────────────────── 🎯 WHAT I DELIVER ──────────────────────── ✅ CI/CD Pipelines: Azure DevOps, GitHub Actions, Jenkins for .NET, Node.js, Angular, React, Spring Boot ✅ Azure Infrastructure: Architecture design, provisioning, Terraform IaC, cost optimization ✅ Containerization: Docker, AKS, Azure Container Apps ✅ Monitoring & Security: Azure Monitor, Prometheus, Grafana, OWASP ZAP ✅ Cloud Migration: Azure, AWS, GCP workload migrations ✅ DevOps Consulting: Agile setup, Azure Boards, Scrum team training ──────────────────────── 💼 PROVEN RESULTS ──────────────────────── 🔹 Designed CI/CD pipelines for Angular and Node.js apps cutting deployment time significantly 🔹 Led Azure infrastructure readiness for enterprise and government projects in Qatar 🔹 Migrated multi-org Azure DevOps projects with zero downtime 🔹 25+ projects delivered on Upwork with 100% Job Success Score ──────────────────────── 🎖️ CERTIFICATIONS ──────────────────────── ✅ Microsoft Certified: DevOps Engineer Expert (AZ400) valid till 2026 ✅ Microsoft Certified: Azure Administrator Associate (AZ104) valid till 2026 ──────────────────────── 🛠️ TECH STACK ──────────────────────── Cloud: Azure, GCP CI/CD: Azure DevOps, GitHub Actions, Jenkins, GitLab, AWS CodePipeline IaC: Terraform, Ansible Containers: Docker, Kubernetes, AKS, Azure Container Apps Monitoring: Azure Monitor, Prometheus, Grafana, Catchpoint Security: OWASP ZAP, Azure Security Center Scripting: Linux Bash, Python VCS: Git, GitHub, GitLab, Bitbucket ──────────────────────── 📩 LET'S TALK IF YOU NEED ──────────────────────── ✅ A reliable DevOps engineer who delivers on time ✅ Azure infrastructure built right the first time ✅ CI/CD pipelines that actually work in production ✅ A long-term technical partner, not just a freelancer 💬 Response time under 4 hours. Message me, I'm ready.