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I'm a Cloud & DevOps Engineer with 2+ years of hands-on experience designing, automating, and maintaining cloud-native and on-premise infrastructure across Azure and AWS environments. At EPAM Systems, I provision and manage infrastructure using Terraform, deploying AKS clusters, Azure Container Registry (ACR), networking resources, and Kubernetes-based workloads. I build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions, while implementing monitoring, logging, and alerting solutions with Azure Monitor and Log Analytics to improve operational visibility and deployment reliability. At Ilia State University, I managed Linux-based on-premise infrastructure and improved deployment efficiency by 60% through CI/CD automation with Jenkins and GitHub Actions. I also designed observability platforms using Grafana and Prometheus, reducing MTTR by 40% and improving infrastructure monitoring and troubleshooting workflows. As a freelancer on Upwork, I delivered a production-grade AWS observability and CloudWatch optimization project for a healthcare software company, earning a 5-star client rating while improving monitoring, alerting, and operational reliability under real-world workloads. Core technical expertise: • CI/CD: Azure DevOps, GitHub Actions, Jenkins • Infrastructure as Code: Terraform (AKS, ACR, networking, cloud infrastructure) • Containers & Orchestration: Docker, Kubernetes (AKS) • Cloud Platforms: Microsoft Azure, AWS • AWS Services: CloudWatch, Lambda, WAF, SNS, CloudFront, Route 53, DynamoDB • Monitoring & Observability: Grafana, Prometheus, Azure Monitor, AWS CloudWatch • Systems & Automation: Linux, Bash, Python, NGINX, Git I focus on building scalable, observable, and automated infrastructure that reduces operational overhead, improves deployment consistency, and supports production-grade reliability.

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.

Your server's down at 3am. Your cloud bill doubled. Deploys are a Friday nightmare. I fix exactly this — fast, with a rollback plan for every change. Results from 49 completed projects (100% Job Success): - 99.9% uptime — real monitoring with Prometheus, Grafana, and structured alerting - 30-60% faster page loads — Nginx/Apache tuning, CDN, TLS hardening, HTTP/2 - 20-35% lower cloud costs — right-sizing, autoscaling, lifecycle policies, FinOps - Deploys in minutes — Docker, Kubernetes, GitOps (ArgoCD/Flux), GitHub Actions, GitLab CI What I do: - Infrastructure & Containers: Linux, Docker, Kubernetes, Helm, Terraform, Ansible - Cloud: AWS, GCP, Azure - CI/CD: GitHub Actions, GitLab CI, ArgoCD, blue-green/canary deploys - Monitoring: Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch - Security: Vault, SBOM/SLSA, Zero Trust, WireGuard/OpenVPN - Scripting: Bash, Python, Go, PowerShell How I start: 1. Quick audit (30-60 min) — what's running, what's breaking, what costs money for no reason 2. Prioritized action plan — what to fix now, what can wait, rollback strategy for every change 3. Early wins in 48 hours — faster response, fewer alerts, lower bill, working backups I don't do "two weeks of discovery." I dig in, find the worst problems, fix them fast. Tell me what's hurting — I'll be straight about whether I can help and what it takes.

I help AI startups and SaaS teams move AI systems from prototype to production on AWS and Azure. Most AI products work in a demo but fail when real users, real data, latency, security, cost, and deployment issues come in. My work is focused on fixing that gap. I build and deploy production-ready MLOps, RAG, MCP server, and cloud infrastructure systems using AWS, Azure, Kubernetes, Terraform, CI/CD, monitoring, and secure backend APIs. What I can help with: AWS and Azure MLOps I deploy ML models, inference APIs, and retraining pipelines using AWS SageMaker, Lambda, API Gateway, ECS, EKS, Azure App Services, Azure Functions, Azure AI Search, Docker, Kubernetes, and Terraform. RAG and LLM infrastructure I build reliable RAG systems using LangChain, LangGraph, LlamaIndex, pgvector, Pinecone, Supabase, OpenSearch, PostgreSQL, and Azure AI Search. I focus on retrieval quality, speed, fallback logic, logging, source traceability, and production stability. MCP servers and AI agent infrastructure I have built an MCP server for a local ERP system so users could interact with their internal business software through an LLM. I can design secure MCP servers that connect AI agents with databases, APIs, ERP systems, cloud resources, and internal tools. Cloud DevOps and CI/CD I build and fix production infrastructure using Terraform, GitHub Actions, Jenkins, AWS CodePipeline, Docker, Kubernetes, CloudWatch, Grafana, Prometheus, Nginx, PostgreSQL, and secure deployment workflows. Recent proof from my work: - Completed a $6,000 Vertex AI Pipeline project using Python/KFP - Deployed a scikit-learn model on AWS SageMaker with API Gateway, Lambda, and a Python tester - Built production RAG pipelines using Supabase pgvector, RunPod, and LLM workflows - Built an MCP server for a local ERP system to expose business actions through an LLM - Set up PostgreSQL and K3s on on-prem servers using Ansible - Migrated 17+ microservices to cloud-native infrastructure - Reduced cloud infrastructure cost by 30% - Improved deployment efficiency by 50% through CI/CD automation - Built AWS ECS/EKS systems with monitoring, auto-recovery, and high availability I am a good fit if you need: - AI or ML model deployment on AWS or Azure - RAG system cleanup, optimization, or production deployment - MCP server development for internal tools or SaaS platforms - CI/CD and cloud infrastructure for AI applications - Kubernetes, Terraform, monitoring, and cost optimization - Production support for broken or half-finished AI/cloud systems I care about business outcomes first: reliable deployments, lower cloud cost, faster releases, safer infrastructure, and AI systems that clients can actually use in production. Available for AWS, Azure, MLOps, RAG, MCP server, DevOps, and production AI infrastructure projects.

I help teams run production Kubernetes on AWS, GCP, and multi-cloud environments reliably, observably, and without runaway cloud bills. As an SRE and Cloud Platform Engineer at a Silicon Valley DaaS company, I operate cloud-native platforms that provision more than 1000 cloud desktop containers in under 60 seconds and helped reduce cloud costs by 33% through capacity planning and Kubernetes optimization. My core work includes Kubernetes on AWS EKS and GCP GKE, Terraform and Terragrunt, Docker, CI/CD, GitOps with GitHub Actions and ArgoCD, and observability with Prometheus, Grafana, Loki, and related tooling. I improve MTTR through alerting, incident response, and post-mortems. I also build Linux desktop container workloads for VDI and DaaS use cases. Selected outcomes: Gomydesk: Production Kubernetes on EKS and GKE, AWS and GCP infrastructure, GitOps CI/CD, observability, incident management, more than 1000 cloud desktops in under 60 seconds, and 33% cloud cost reduction. Serveden: Kubernetes and GKE for AI and LLM workloads, Prometheus, Grafana, Loki, Tempo, cluster automation, stability improvements, and cost optimization. Takiacademy: Backend and platform work for Messaggera platform with 50K+ users and TakiAcademy with 400K+ users, real-time systems with Socket IO, CI/CD, and production reliability. I am CKAD certified, a Kubeflow contributor, and have trained 80+ engineers on Docker, Kubernetes, ArgoCD, and Bash. Ideal projects: Kubernetes on EKS or GKE, cloud infrastructure audits, Terraform IaC, GitOps, observability stacks, cost optimization, incident response, and SRE retainers. Message me your cloud provider, cluster size, and top infrastructure pain point. I will reply with a concrete first step.

I help engineering teams stabilize infrastructure and streamline deployments using AWS, Terraform, and Kubernetes. Most clients retain me long term after initial setup to manage CI/CD pipelines, backend reliability, and production operations. With over 7+ years of hands-on DevOps experience, I work directly on Terraform provisioning, container orchestration (ECS/EKS), GitHub Actions and Jenkins pipelines, and AWS-native automation. My focus is building infrastructure that is secure, observable, and ready for continuous delivery. My focus is building infrastructure that is reliable, secure, and easy for development teams to deploy into whether supporting a SaaS platform, internal systems, or data-intensive applications. If you are facing unstable deployments, unclear infrastructure ownership, or slow release cycles, I can audit your current setup and implement practical, measurable improvements. Available for a 30-minute DevOps consult — no obligation. If you need clarity on your DevOps setup or want a second opinion on your infrastructure, feel free to message me. I can walk through your current environment and suggest practical, actionable improvements. ✅ Core Expertise • Cloud: AWS (ECS/Fargate, EC2, S3, RDS, Lambda, IAM, CloudWatch) • Orchestration: Kubernetes (EKS, Helm, autoscaling, self-healing workloads) • CI/CD: Jenkins, GitHub Actions, AWS CodePipeline, Docker build automation • Infrastructure as Code: Terraform (modular multi-env), CloudFormation • Systems: Linux admin, shell scripting, Ansible automation • Security & Secrets: AWS SSM, Vault, least-privilege IAM policies • Observability: Prometheus, Grafana, CloudWatch, ELK stack • Secure networking: VPC design, load balancers, NAT gateways, VPN peering • Databases: PostgreSQL, MySQL, MongoDB Atlas (VPC peering + security rules) ✅ Proven Delivery • Built multi-region AWS infra handling $10M+ in monthly transactions • Reduced release cycles from 2 hours to under 5 minutes using automated pipelines • Scaled containerized systems to handle millions of requests per day • Applied CIS and ISO-aligned hardening and monitoring policies • Designed rollback, blue/green, and zero-downtime deployment strategies • Reduced cloud costs 20–40% via right-sizing and architectural rewrites ✅ Approach I take full responsibility for the infrastructure — from architecture to deployment. I work directly with development teams to remove bottlenecks, enforce reliable delivery, and keep production stable. I handle full buildouts, CI/CD restructuring, and Kubernetes tuning with a focus on clear, measurable outcomes. ⚙️ Work Philosophy I meet all client requirements, then continue refining until the system meets the production standards I trust—stable, maintainable, and built for long-term use. I focus on projects where my expertise adds clear value and the execution can meet a high technical bar. Automate what can be automated. Secure what must be protected. Keep production stable.