🚀YOU WILL GET A SYSTEM AUDIT REPORT FOR FREE🚀 🚨 𝗜𝗳 𝘆𝗼𝘂𝗿 𝘀𝘆𝘀𝘁𝗲𝗺 𝗯𝗿𝗲𝗮𝗸𝘀, 𝗜 𝗳𝗶𝗻𝗱 𝗶𝘁. 𝗜𝗳 𝗮𝗹𝗲𝗿𝘁𝘀 𝗳𝗮𝗶𝗹, 𝗜 𝗳𝗶𝘅 𝘁𝗵𝗲𝗺. 𝗜𝗳 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗶𝘀 𝗺𝗶𝘀𝘀𝗶𝗻𝗴, 𝗜 𝗯𝘂𝗶𝗹𝗱 𝗶𝘁 — 𝗴𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱. Production issues don’t come from one place — they come from gaps across infrastructure, applications, networks, and security. I close those gaps. Client Testimonial: "𝐈 𝐫𝐞𝐚𝐥𝐥𝐲 𝐚𝐩𝐩𝐫𝐞𝐜𝐢𝐚𝐭𝐞 𝐲𝐨𝐮𝐫 𝐡𝐞𝐥𝐩, 𝐀𝐛𝐝𝐮𝐥. 𝐘𝐨𝐮 𝐚𝐫𝐞 𝐚𝐰𝐞𝐬𝐨𝐦𝐞! 𝐀𝐛𝐝𝐮𝐥 𝐰𝐚𝐬 𝐚𝐛𝐥𝐞 𝐭𝐨 𝐤𝐧𝐨𝐜𝐤 𝐨𝐮𝐭 𝐰𝐡𝐚𝐭𝐞𝐯𝐞𝐫 𝐈 𝐰𝐚𝐬 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐢𝐧 𝐆𝐫𝐚𝐟𝐚𝐧𝐚. 𝐈 𝐰𝐨𝐮𝐥𝐝 𝐡𝐢𝐠𝐡𝐥𝐲 𝐫𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝 𝐡𝐢𝐦 𝐭𝐨 𝐚𝐧𝐲𝐨𝐧𝐞 𝐰𝐡𝐨 𝐢𝐬 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐡𝐞𝐥𝐩 𝐰𝐢𝐭𝐡 𝐆𝐫𝐚𝐟𝐚𝐧𝐚." Lets just 𝗱𝗲𝘁𝗲𝗰𝘁 𝗶𝘀𝘀𝘂𝗲𝘀 𝗯𝗲𝗳𝗼𝗿𝗲 𝘂𝘀𝗲𝗿𝘀 𝗳𝗲𝗲𝗹 𝘁𝗵𝗲𝗺, 𝗿𝗲𝗱𝘂𝗰𝗲 𝗱𝗼𝘄𝗻𝘁𝗶𝗺𝗲, 𝗮𝗻𝗱 𝗴𝗮𝗶𝗻 𝗳𝘂𝗹𝗹 𝘃𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗰𝗿𝗼𝘀𝘀 𝘆𝗼𝘂𝗿 𝘀𝘁𝗮𝗰𝗸 — not just dashboards, but real reliability. 💡 What I Fix • Systems going down without clear reasons • Slow or failing applications with no root cause visibility • Missing or noisy alerts (alert fatigue) • Blind spots in network traffic and service communication • Security logs with no actionable monitoring • Disconnected tools with no centralized observability • Slow incident response and firefighting mode 🚀 What You Get • 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (AWS environments, Linux systems, Kubernetes stability) • 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 (Performance monitoring, logs, tracing, failure detection) • 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗩𝗶𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝘆 (Latency tracking, traffic insights, service health) • 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 & 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴 (Log-based detection, anomaly signals, audit visibility) • 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 (Grafana, Prometheus, Loki, ELK, OpenSearch, CloudWatch) • 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗔𝗹𝗲𝗿𝘁𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗔𝗜𝗢𝗽𝘀) (Anomaly detection, noise reduction, smart escalation) 🧠 Core Stack AWS (EC2, CloudWatch), Linux Prometheus, Grafana, Loki, ELK, OpenSearch Kubernetes, Docker Terraform, Ansible, Bash, Python Jenkins, GitHub Actions, ArgoCD 📈 Results You Can Expect ✔ Faster root cause detection ✔ Fewer incidents and reduced downtime ✔ Clean, actionable alerts (no noise) ✔ Full visibility across infra, apps, network, and security 🎯 CTA If your system is unstable, unclear, or constantly firefighting — I’ll fix it. 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐦𝐞 𝐨𝐫 𝐬𝐞𝐧𝐝 𝐚𝐧 𝐢𝐧𝐯𝐢𝐭𝐞. 𝐈’𝐥𝐥 𝐫𝐞𝐯𝐢𝐞𝐰 𝐲𝐨𝐮𝐫 𝐬𝐞𝐭𝐮𝐩 𝐚𝐧𝐝 𝐭𝐞𝐥𝐥 𝐲𝐨𝐮 𝐞𝐱𝐚𝐜𝐭𝐥𝐲 𝐰𝐡𝐚𝐭’𝐬 𝐛𝐫𝐨𝐤𝐞𝐧 — 𝐛𝐞𝐟𝐨𝐫𝐞 𝐰𝐞 𝐞𝐯𝐞𝐧 𝐬𝐭𝐚𝐫𝐭.

I help startups and scaling companies design, automate, and optimize secure, production-grade cloud infrastructure across AWS, Azure, and GCP. With 5+ years of experience as a DevOps & Cloud Engineer, I specialize in building highly available, cost-optimized, and compliant environments using Infrastructure as Code, Kubernetes, and modern CI/CD pipelines. Whether you’re migrating to the cloud, modernizing legacy infrastructure, or scaling microservices, I deliver resilient systems built for performance and reliability. Core Expertise ☁ Multi-Cloud Architecture (AWS | Azure | GCP) - AWS: EC2, ECS, EKS, VPC, IAM, S3, RDS, CloudWatch, Lambda - Azure: AKS, Azure DevOps, App Services, VM Scale Sets, VNet, Azure AD, Key Vault - GCP: GKE, Cloud Run, Compute Engine, Cloud SQL, IAM, VPC, Cloud Build - Cloud migrations (on-prem → cloud / multi-cloud strategies) - High availability & auto-scaling architectures - Security, Cost optimization & FinOps implementation 🚀 CI/CD & DevOps Automation - GitHub Actions, GitLab CI, Jenkins, Azure DevOps - End-to-end pipeline design (build, test, security scan, deploy) - Blue/Green & Canary deployments - Docker image optimization & SHA versioning - Release automation & deployment acceleration 📦 Containers & Kubernetes - Kubernetes (EKS, AKS, GKE) - Helm, ArgoCD, GitOps workflows - Cluster hardening & RBAC - Horizontal/Vertical Pod Autoscaling - Troubleshooting production cluster issues - Observability for containerized workloads 🏗 Infrastructure as Code (IaC) - Terraform & Terragrunt (modular architecture) - Ansible automation - CloudFormation & Bicep - Reproducible infrastructure environments - Environment promotion strategies (dev → staging → prod) 🔐 DevSecOps & Compliance - IAM policies & role-based access control - Secrets management (Vault, Secrets Manager, Key Vault) - SOC 2, ISO 27001, HIPAA-ready architectures - CIS hardening & security best practices - SSO & identity federation 📊 Monitoring & Reliability - Prometheus, Grafana, Datadog - ELK Stack & OpenTelemetry - Centralized logging & alerting - SLO/SLA implementation - Root cause analysis & incident response Measurable Results - 74% faster deployment cycles through CI/CD automation - 44% cloud cost reduction using structured FinOps strategies - 99.9%+ uptime with resilient, auto-healing infrastructure - Secure, audit-ready environments aligned with compliance standards - Zero-downtime database migrations (PostgreSQL, SQL Server) Industries Served SaaS · AI/ML · Healthcare · FinTech · E-commerce · Government · Logistics · Telecom Why Clients Work With Me - I don’t just configure tools, I design systems. - Clients hire me when they need: - A DevOps engineer who can work independently - Clear documentation and infrastructure visibility - Production-ready architecture (not shortcuts) - A long-term reliability mindset If you need someone to modernize your infrastructure, stabilize your Kubernetes cluster, build scalable CI/CD pipelines, or optimize your AWS/Azure/GCP environment, I’m ready to help. Send an invite and let’s build it properly.

Experienced DevOps & Cloud Engineering Professional | AWS | Kubernetes | Blockchain | AI/ML Integration With over 20 years of extensive experience in software engineering and DevOps, I specialize in designing robust, scalable cloud infrastructures and innovative technological solutions. My expertise spans multiple domains, including cloud computing, containerization, blockchain development, and cutting-edge AI/ML integrations. Core Competencies: Cloud Infrastructure (AWS): Terraform IaC, EC2, VPC, ELB, RDS, IAM, CloudWatch Containerization: Kubernetes (EKS, self-hosted clusters), Docker CI/CD Pipelines: GitLab, GitHub Actions, Serverless Framework Programming Languages: Python, Node.js, Golang Blockchain & Web3 Development: Ethereum, Smart Contracts, DApps Serverless Architecture: AWS Lambda, Serverless Framework Monitoring & Observability: CloudWatch, Prometheus, Grafana, ELK Stack Recent Technical Achievements: Successfully integrated advanced AI technologies including Hugging Face, LangChain, and OpenAI for a sophisticated chatbot framework Developed blockchain applications with complex wallet and transaction management Architected scalable Kubernetes deployments with advanced networking configurations Implemented comprehensive security frameworks with multi-factor authentication Blockchain & Web3 Expertise: Specialized in developing decentralized applications (DApps) using web3.py, creating wallet solutions, managing transaction signing, and integrating blockchain technologies with web applications. Experienced in working with Ethereum nodes, smart contract interactions, and utilizing The Graph for advanced data querying. Cloud & DevOps Strengths: Proven track record of designing secure, scalable AWS architectures. Expertise in infrastructure automation, resource optimization, and implementing robust CI/CD pipelines. Skilled at managing complex deployments across multiple environments with a focus on efficiency and cost-effectiveness. AI/ML Integration Specialist: Experienced in connecting diverse AI technologies, fine-tuning NLP models, and creating seamless workflows using tools like LangChain, Flowise, and various AI platforms. Committed to ensuring AI safety, ethical standards, and optimal performance. Professional Approach: Collaborative team player with strong cross-functional communication skills Proven ability to mentor teams and drive process improvements Detail-oriented with a strategic approach to technology integration Continuous learner, always exploring emerging technologies and best practices Let's build innovative, scalable solutions together!

Scaling SaaS and cloud-native businesses with secure, automated, and cost-efficient infrastructure — now powered by AI/ML capabilities. I help companies: ◉ Reduce cloud costs by up to 30–40% ◉ Deploy and scale LLM & AI/ML workloads on production-grade infrastructure ◉ Build scalable Kubernetes clusters (EKS, AKS, GKE) optimized for ML pipelines ◉ Achieve compliance (SOC 2, HIPAA, PCI DSS, ISO 27001) ◉ Migrate to cloud with near-zero downtime If your infrastructure feels fragile, your AI models are slow to deploy, or your cloud bill keeps growing — we fix that. ⚙️ Core Expertise ➙ Cloud Platforms: AWS, GCP, Azure, Digital Ocean, Oracle ➙ Containers: Docker, Kubernetes, Helm ➙ AI/ML & MLOps: LLM Deployment, Fine-tuning, MLflow, Kubeflow, SageMaker, Vertex AI ➙ nfrastructure as Code: Terraform, Ansible, CloudFormation, Pulumi ➙ CI/CD: GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD ➙ Monitoring: Prometheus, Grafana, Datadog, ELK ➙ Security: DevSecOps, Trivy, SonarQube, Checkov ➙ Automation: Python, Bash, PowerShell 🛡️ Compliance & Security We design infrastructure aligned with: HIPAA | SOC 2 | PCI DSS | ISO 27001 | ISO 27002 Security is integrated — not added later. 💼 Who We Typically Work With ◉ SaaS startups scaling rapidly ◉ AI/ML teams needing production-ready model deployment infrastructure ◉ Enterprises migrating to cloud or adopting LLM-powered products ◉ Teams needing Kubernetes production hardening ◉ Regulated industries requiring compliant cloud setups 🌟 Why Clients Choose Us ✅ Certified Kubernetes, Cloud & MLOps experts ✅ Real-world LLM deployment & fine-tuning experience ✅ Clean, maintainable infrastructure (no messy DevOps) ✅ Transparent communication & fast response times If you're deploying AI models, scaling Kubernetes, or optimizing cloud costs — let's talk.

👋 Hi there! If you're looking for a Full-Stack Developer who also understands AI solutions, automation, and end-to-end project management, you’re in the right place. With 8+ years of real-world experience, I help businesses build scalable applications, integrate AI into their workflows, and manage complex development from idea to deployment. My background covers front-end, back-end, cloud, DevOps, and AI giving you a single expert who can guide the entire lifecycle. ✅ AI & Automation Custom AI chatbot development (OpenAI / GPT) AI workflow automation & integrations RAG setups, embeddings, vector DBs AI-powered customer support & business automation ✅ Full-Stack Development High-performance backend APIs (Nodejs, Express, Nextjs) Modern front-end interfaces (React, Nextjs) Real-time systems (SocketIO) Microservices & scalable architecture ✅ DevOps & Cloud AWS, GCP, Docker, Kubernetes CI/CD pipelines (GitHub Actions, GitLab, Jenkins) Infrastructure automation (Terraform) Performance, security & monitoring setups 🧠 How I Work I approach every project like a partner not just a developer. I help you clarify the architecture, build efficiently, avoid bottlenecks, and ensure your product is scalable for long-term growth. Whether it's a fresh build, AI integration, or technical consultation, I deliver solutions that are clean, reliable, and aligned with your business goals. 🚀 Want to Discuss Your Idea? Whether you need a full build, an AI integration, or a technical review of your current system. I’m here to help. Send me a message, and let's plan the next steps together.

AI Solutions Architect | Generative AI | LLM | Cloud AI Expert 🚀 10+ Years' Experience in AI, Cloud Architecture & Enterprise Software 🤖 OpenAI | Azure OpenAI | LangChain | RAG | AI Agents | MCP ☁️ AWS | Azure | GCP | Kubernetes | Docker | Terraform 📊 Vector Databases | MLOps | AI Automation | Intelligent Workflows 🔐 Enterprise Security | Scalable AI Infrastructure | Cloud-Native Solutions ⚡ Python | FastAPI | .NET | React | PostgreSQL | CI/CD I design and build production-ready AI applications that combine Large Language Models, Retrieval-Augmented Generation (RAG), AI Agents, and cloud-native architectures. From AI-powered SaaS platforms to enterprise automation, I help organizations deploy secure, scalable, and cost-effective AI solutions that drive real business value. What I Deliver ➡ AI-powered SaaS application architecture and development ➡ LLM integration using OpenAI, Azure OpenAI, Claude, and Gemini ➡ AI Agents, MCP, LangChain, LangGraph, and workflow automation ➡ Retrieval-Augmented Generation (RAG) with vector databases (pgvector, Pinecone, Weaviate) ➡ Document intelligence, semantic search, and knowledge assistants ➡ Cloud-native AI infrastructure on AWS, Azure, and GCP ➡ FastAPI, Python, .NET, React, and PostgreSQL development ➡ CI/CD, Docker, Kubernetes, Terraform, and Infrastructure as Code ➡ AI security, monitoring, scalability, and performance optimization Certifications ➡ AWS Certified DevOps Engineer – Professional ➡ AWS Certified Solutions Architect – Associate ➡ AWS Certified Cloud Practitioner ➡ HashiCorp Certified: Terraform Associate ➡ Microsoft Certified: Azure AI Fundamentals ➡ Microsoft Certified: Azure Administrator Associate ➡ Microsoft Certified: DevOps Engineer Expert ➡ Microsoft Certified: Azure Solutions Architect Expert ➡ Microsoft Certified: Azure Fundamentals Why Choose Me? I combine AI expertise with enterprise cloud architecture to build intelligent, scalable, and secure applications. Whether it's developing AI copilots, document intelligence systems, multi-agent workflows, or enterprise RAG platforms, I focus on delivering production-ready solutions that are reliable, maintainable, and aligned with business objectives. Let's build your next AI-powered product and transform your ideas into production-ready solutions.

Saved $6M/year in cloud costs. 15+ years of building production-grade, self-healing infrastructures for Dell EMC & SaaS startups. I turn complex clouds into stable assets. Stop overpaying for your cloud and fighting with unstable deployments. I specialize in high-load, zero-downtime systems that scale automatically while keeping your AWS/Azure bills under control. My main impact: Cost Efficiency: Cut cloud spending by $6M/year for a nationwide e-commerce platform. Performance: Reduced global game server latency by 40% (AWS ECS optimized). Velocity: 40% faster release cycles via Terraform IaC & GitHub Actions. Scalability: Supported 3x user growth with 99.9% uptime on AWS EKS. Expertise: 🔹 Cloud Architecture & FinOps Using FinOps principles, I identify "zombie" resources and implement Spot Instances, Savings Plans, and Rightsizing to slash your burn rate. Stack: AWS, Azure, GCP, AWS CDK, Cost Explorer. 🔹 Kubernetes & Container Orchestration Expert in production-ready EKS/AKS clusters. From bare-metal migration to auto-scaling and service mesh (Istio), I ensure your apps are resilient and portable. Stack: Docker, K8s, Helm, ArgoCD, Terraform. 🔹 DevSecOps & Compliance Security is not an afterthought. I build "Hardened" infrastructures compliant with SOC2 and PCI DSS standards, ensuring your data is protected from day one. Stack: IAM, SSL/TLS, Cloudflare, Vault, Security Audits. 🔹 Observability & Reliability If you can’t measure it, you can’t manage it. I set up deep monitoring that alerts you before the system fails. Stack: Prometheus, Grafana, ELK, Datadog. My Workflow Infrastructure Audit: I find the bottlenecks and "money leaks" in 4 hours. Roadmap & KPIs: We define what "success" looks like for your business. Execution: Clean, documented IaC (Terraform/Ansible) — no "black boxes." Knowledge Transfer: I train your team to manage the new setup. Ready to Scale? If you are tired of AWS bill surprises or unstable releases, let’s talk. I offer a Free 4-hour Architecture & Cost Audit for new long-term partners. Click "Hire" or "Invite" to get your infrastructure under control.

Are you looking for a DevOps Engineer or System Administrator to help ensure your infrastructure is stable, scalable, and well-automated? You’re in the right place. My name is Sofiia, and I’m a DevOps Engineer / System Administrator with 6 years of hands-on experience working in a leading engineering company in Kyiv, Ukraine. I work as part of Skynix — a team focused on delivering reliable, scalable, and secure digital solutions. What I Do I help businesses build and maintain infrastructure that is stable, automated, and ready for growth. My experience includes: system administration and infrastructure support cloud infrastructure setup and maintenance CI/CD pipeline design and automation containerization and orchestration deployment and configuration management monitoring, reliability, and system optimization Core Technologies Kubernetes • Docker • Terraform • Ansible • Helm Jenkins • GitHub Actions • Spinnaker AWS • Azure Kafka • Consul • Istio • Calico • Kiali PostgreSQL • MySQL • SQLite • Firebase Java • JavaScript • Spring • Hibernate • jUnit • Postman Git • GitHub Business Domains Magento Commerce platforms WordPress marketing websites WooCommerce stores ERP / CRM systems corporate systems and access/security domains My Approach I focus on building infrastructure that is: reliable under production load automated to reduce manual errors scalable for business growth structured for long-term maintainability My goal is not just to “keep systems running,” but to ensure they are efficient, predictable, and safe for production environments. About Skynix Skynix is a full-cycle development company specializing in LAMP and JAM stack technologies, delivering complex web and infrastructure solutions using modern backend and frontend stacks. Why clients choose us: established in 2015 20+ engineers (senior, middle, junior levels) strong enterprise-level delivery experience reliable remote collaboration across time zones fast adaptation and strong engineering culture If you’re looking for a DevOps specialist who focuses on stability, automation, and system reliability — I’d be happy to collaborate.

If your cloud infrastructure, CI/CD pipelines, data workflows, or ML deployments are becoming difficult to manage, insecure, or hard to scale, I can help you build a reliable, automated, and production-ready system. I’m a DevOps, MLOps, and Cloud Engineer with 4+ years of hands-on experience designing, deploying, and maintaining secure cloud infrastructure across AWS, Azure, and Google Cloud Platform. I help startups and growing companies automate deployments, manage Kubernetes environments, optimize cloud operations, and deploy AI/ML systems with scalable DevOps practices. My work focuses on building systems that are secure, scalable, cost-efficient, observable, and easy to maintain. Here’s how I can help: DevOps Engineering & CI/CD Automation I build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, and Bitbucket pipelines. I help teams automate deployments, reduce manual errors, improve release speed, and create reliable workflows across development, staging, and production environments. Cloud Infrastructure on AWS, Azure & GCP I design and manage cloud infrastructure using AWS, Azure, and GCP, including compute, networking, storage, IAM, databases, load balancing, certificates, secrets, monitoring, and security services. I also work with infrastructure automation using Terraform and AWS CDK. Kubernetes, Docker & GitOps I deploy and manage containerized applications using Docker, Kubernetes, ECS, EKS, Helm, and Argo CD. I can help with Kubernetes cluster operations, Helm chart development, GitOps workflows, autoscaling, ingress, secrets management, and production-grade deployment strategies. MLOps & AI Infrastructure I support AI/ML and GenAI workloads by deploying and managing ML models, RAG and non-RAG workflows, and AI infrastructure using tools like Azure AI Foundry, Kubernetes, cloud storage, APIs, and CI/CD automation. I help teams move ML workloads from experimentation to stable production environments. Data Engineering & Workflow Automation I build and automate data workflows using Python, AWS Lambda, S3, DynamoDB, API Gateway, databases, Kafka-based workflows, DAG pipelines, and cloud-native data services. I can help automate manual tasks, improve data reliability, and connect systems through scalable backend workflows. Cloud Security & Compliance Support I implement security best practices across cloud environments, including IAM hardening, Secrets Manager, AWS Security Hub, GuardDuty, Inspector, WAF, vulnerability scanning, and secure CI/CD practices. I also have experience working with compliance-focused environments, including PCI DSS. Monitoring & Observability I set up monitoring, logging, alerting, and dashboards using Prometheus, Grafana, AWS CloudWatch, Datadog, New Relic, and Uptime Robot. I help teams detect issues early, reduce downtime, and improve visibility across applications and infrastructure. I don’t just configure tools. I build complete cloud and DevOps systems that help businesses deploy faster, reduce operational risk, improve security, and scale with confidence. If you need help with AWS, Azure, GCP, Kubernetes, Terraform, Docker, CI/CD, MLOps, data workflows, cloud security, monitoring, or infrastructure automation, let’s discuss your project. Tools & Technologies Cloud Platforms: AWS, Azure, GCP AWS: EC2, RDS, S3, VPC, IAM, Route 53, SQS, ECS, EKS, Lambda, API Gateway, DynamoDB, Secrets Manager, WAF, Config, SNS, Security Hub, Inspector, GuardDuty, CodePipeline, Amplify, Elastic Beanstalk Azure: Azure AI Foundry, Azure DevOps, App Services, Virtual Machines, Networking, Storage GCP: Compute Engine, Cloud Run, Cloud SQL, Cloud Build, Cloud Storage, VPC, IAM, Secret Manager DevOps & CI/CD: GitHub Actions, GitLab CI, Jenkins, AWS CodePipeline, Bitbucket Pipelines Containers & Orchestration: Docker, Kubernetes, ECS, EKS, Helm, Argo CD IaC: Terraform, AWS CDK MLOps & Data: Azure AI Foundry, RAG workflows, Python automation, AWS Lambda, S3, DynamoDB, API Gateway, Kafka, DAG workflows Monitoring: Prometheus, Grafana, AWS CloudWatch, Datadog, New Relic, Uptime Robot Databases: PostgreSQL, MSSQL, MongoDB, AWS RDS Security: AWS Security Hub, GuardDuty, Inspector, Secrets Manager, WAF, SonarQube, Snyk, Veracode Scripting: Bash, Python Version Control: GitHub, GitLab, Bitbucket Operating Systems: Linux, Windows Server

Backend and infrastructure engineer, AWS is home. The thing I keep getting pulled into lately is cost, because most AWS waste hides behind stuff that works and nobody questions the service that runs fine. I cut a production search setup 85%, Aurora at $4,200/mo down to DynamoDB plus OpenSearch around $630. Nobody had touched it in a year because it was "working." Found CloudWatch logs double-shipping at $2,766/mo because two teams set up logging and nobody checked for overlap. Found metric streams burning $1,900/mo sending everything unfiltered across regions. That pattern got annoying enough that I built CostPatrol, an AWS cost tool with 123 detection rules across 30 AWS services that scans an account in about a minute and hands you the exact fix commands. Shipped it in two weeks. So if your AWS bill is climbing and nobody can tell you why, that's the work I want. Connect a read-only role, I scan, and you get a ranked list of what's leaking and what it costs. No guessing. The cost instinct comes from running production for years, not reading about it. Some of what I've built: - Payment service for a major UK ticketing platform. Worldpay, Apple Pay, Google Pay. Real money, high volume. - Flash sales at tens of thousands of requests a minute across 80+ venues. 100x DynamoDB throttling reduction by consolidating scheduled work. - Uptime from 97.8% to 99.99%. The fix was ripping out a flaky CMS causing cascading failures, not adding anything. - Deploy times from 45 minutes to under 5, across 40+ brands and 4 AWS regions. Feature rollouts from 10 minutes to 5 seconds after moving the frontend to Next.js on App Runner. - AI chatbot on Bedrock and Claude, RAG with PII redaction, automating 80% of inquiries. Claude Code is my primary dev tool now. I write the spec, it does the implementation, and I gate the parts that actually bite, auth, money, security, infra. Last year I shipped four production products solo this way: an AWS cost SaaS, an institutional deal-verification platform, an AI nutrition coach, and a quant trading engine. The language stopped being the hard part. What breaks at 3am, what needs a human looking at it, that's the part a model doesn't give you. So the stack is a detail. Node and Python are home, but I'll reach for whatever the job needs. Industries I've shipped production in: fintech (KYC/AML onboarding, payments, multi-tenant auth with Cognito), wealth and investments (unit-trust onboarding, fund operations), healthcare (HIPAA, KMS, VPC isolation), ticketing and entertainment (flash-sale load, multi-region, multi-brand), legal-tech (dispute resolution, OCR, e-signatures), e-commerce, petroleum (Fortune 500 dashboards, SAP, Step Functions ETL), IoT (real-time telemetry, leak detection), and blockchain (Hyperledger identity, audit trails). What I take on: AWS cost audits and FinOps (not only AWS, I've trimmed observability tool spend too), backend and API builds (Node, Python, GraphQL, REST), DevOps and infrastructure-as-code (Terraform, CDK, Serverless, CI/CD, multi-account), observability and alerting as code (Pulumi, New Relic, NRQL), AI and LLM work (RAG, agents, Bedrock, Comprehend, Textract, vector search), GEO and AEO optimization for AI search visibility, and architecture, breaking monoliths into event-driven microservices that hold up under load. What I reach for most: AWS (Lambda, ECS, Fargate, DynamoDB, EventBridge, Step Functions, SQS, CloudFormation, CDK, Terraform), Node.js/TypeScript, Python, Claude/Bedrock, LangChain, FAISS, OpenSearch, PostgreSQL, Aurora, Redis, GraphQL, Stripe, Cognito, Cloudflare Workers, Pulumi, New Relic, React/Next.js. Send over what you're dealing with, the bill that doesn't add up or the system that keeps paging someone, and I'll tell you how I'd approach it.