Experienced DevOps/Cloud Engineer with AWS, Docker, and Kubernetes Expertise I am a skilled DevOps/Cloud Engineer with a strong foundation in Amazon Web Services (AWS) and expertise in containerization and orchestration technologies. My experience spans: - Deploying and managing applications on AWS cloud platform - Automating deployment processes for enhanced efficiency - Ensuring application reliability, scalability, and security - Implementing and managing Docker containers - Orchestrating containerized applications with Kubernetes - Utilizing Helm for Kubernetes package management - Designing and implementing robust CI/CD pipelines As a DevOps professional, I excel in: 1. **Cloud Infrastructure**: Proficient in AWS services including EC2, S3, RDS, and more. 2. **Containerization**: Expert in Docker for creating and managing application containers. 3. **Orchestration**: Skilled in Kubernetes for deploying, scaling, and managing containerized applications. 4. **Package Management**: Experienced with Helm for streamlining Kubernetes application deployment. 5. **CI/CD**: Adept at implementing continuous integration and continuous deployment pipelines. 6. **Scripting**: Proficient in various scripting languages for automation and infrastructure management. 7. **Collaboration**: Strong ability to work closely with development teams to optimize the development and deployment process. 8. **Monitoring and Security**: Experienced in implementing robust monitoring solutions and ensuring infrastructure security. My expertise allows me to deliver scalable, reliable, and efficient cloud-based solutions. I am committed to staying current with the latest DevOps practices and cloud technologies to provide cutting-edge solutions for your projects. Let's collaborate to build and maintain robust, scalable, and secure cloud infrastructure for your applications!

Are you looking for an AI-powered DevOps / SRE engineer who doesn't just maintain infrastructure - but makes it smarter, self-healing, and cost-optimized? You're in the right place. With 10+ years of hands-on experience in Site Reliability Engineering and DevOps, I have evolved my practice by integrating AI and automation at every layer of the stack. From building MCP (Model Context Protocol) servers that let AI agents manage AWS & Azure resources, to deploying intelligent log monitoring and cost analysis pipelines - I bring a modern, AI-first approach to infrastructure engineering. What Sets Me Apart: AI-Enhanced DevOps I don't just use traditional DevOps tools - I augment them with AI to deliver faster results and deeper insights: MCP Servers for Cloud Automation: I build and deploy Model Context Protocol (MCP) servers that allow AI agents to directly interact with AWS & Azure APIs - automating provisioning, auditing, incident response, and resource management through natural language workflows. Fine-Grained Cloud Auditing & Deep Cost Analysis: AI-driven scripts that continuously scan your cloud accounts, flag unused resources, detect anomalous spending patterns, and generate actionable cost-optimization reports - saving clients 20-40% on monthly cloud bills. AI-Powered Python Automation: Custom Python scripts powered by LLMs that replace tedious manual processes - from auto-generating Terraform modules to intelligent config drift detection and remediation. AI-Powered Log Monitoring & Anomaly Detection: Intelligent observability pipelines that go beyond static thresholds - using AI to detect patterns, predict outages, auto-classify errors, and surface root-cause insights from logs (Loki, ELK, CloudWatch). Helm & Kubernetes with AI Agents: AI-assisted cluster management using agents that monitor pod health, auto-scale workloads, optimize Helm chart configurations, and provide natural-language troubleshooting for K8s issues. Core Technical Skills: 1. Cloud Platforms: AWS (Primary), Azure, Google Cloud, Digital Ocean 2. Databases: RDS, DynamoDB, MongoDB, PostgreSQL 3. IaC & CI/CD: Terraform, Ansible, CloudFormation, GitHub Actions, GitLab CI, Azure DevOps, Jenkins 4. Containers: Docker, ECS Fargate, EKS, Kubernetes, Helm 5. Observability: Grafana, Prometheus, OpenTelemetry, CloudWatch, X-Ray, Loki, ELK, New Relic 6. AI Tooling: MCP Servers, AI-powered Python scripts, LLM-integrated workflows, AI agents for K8s 7. Web/Infra: Nginx, Apache, ALB/NLB, Proxmox, KVM Certifications: AWS Certified Solutions Architect – Associate AWS Certified SysOps Administrator – Associate When you work with me, you get: Fast responses - I value your time Clear communication - structured milestones AI-first mindset - faster, smarter, more cost-effective solutions If any of the above sounds like what you need, let's connect!

Results-driven DevOps Engineer specializing in multi-cloud infrastructure automation and high-availability Kubernetes orchestration. I bridge the gap between complex architectural design and seamless operational execution. I don't just "manage" infrastructure—I build the tools that automate it. My expertise lies in creating custom Python-based solutions and self-hosted RKE2 clusters that empower engineering teams to deploy faster and more reliably. Key Achievements: 🚀 Reduced Deployment Time to <1 Hour: Engineered a standardized Helm chart and CI/CD framework that eliminated manual overhead and accelerated the delivery of new applications. 🛠️ Developed Kubernetes Provisioning Engine: Built a custom Python-based tool to automate high-availability RKE2 cluster deployments across diverse cloud providers, ensuring consistency and speed. 💾 Automated Database Reliability: Created a proprietary framework for automated CNPG cluster discovery, backups, and proactive restore testing, maintaining 99.99% data durability. 📈 99.9% System Uptime: Proactively managed and scaled production environments on AWS, GCP, Azure and self-hosted Kubernetes, ensuring maximum availability for critical services.

DevOps Engineer with experience of more than 5 years. ★ Cloud Providers: AWS, GCP, Azure, Digital Ocean, Linode, OVH, Hetzner, Leaseweb, Vultr ★ Virtualization: VirtualBox, VMWare, Vagrant, KVM ★ Bare Metal: Dell, HP, Supermicro, Leaseweb, Hetzner, OVH ★ Containerization: Docker, Docker Compose, Kubernetes (Rancher, EKS, GKE, K3S), LXC ★ Infrastructure as Code: Terraform, Ansible, OctoDNS ★ Configuration Management: Ansible ★ CI Tools: Jenkins, Gitlab CI, Github Actions ★ Deployment: Fabric, Ansible ★ AWS Administration: EC2, RDS, S3, CloudFront, Route53, ELB, VPC, IAM, Lambda ★ Source Code: Git, SVN, Gitlab, Github, Bitbucket ★ Monitoring: Nagios, Prometheus, Grafana, InfluxDB, Telegraf ★ High Availability: HAProxy, F5, ELB, Envoy ★ Scripting: Bash, Python ★ Documentation: Confluence, Wiki, Markdown ★ Databases: MySQL, PostgreSQL, MariaDB, MongoDB, Clickhouse ★ Caching: Redis, Memcached ★ Servers: Apache, Nginx, Caddy, Traefik ★ Operating System: Ubuntu, Debian, Redhat, CentOS, Rocky Linux, AlmaLinux, Windows ★ Build Tools: Makefile, Ant, Maven ★ Ticketing: JIRA, Redmine, Bugzilla ★ File Transfer: Filezilla, WinSCP, s3cmd, scp, rsync, rclone ★ VPN: OpenVPN, Wireguard, TailScale ★ Security: SSL, TLS, Certbot, Let's Encrypt, Fail2ban, Wazuh, Nmap, OpenVAS, CrowedSec ★ Message Queue: RabbitMQ, Kafka, MQTT

I'm an experienced Platform Engineer, Site Reliability Engineer and DevOps Engineer. I have years of experience of managing Linux systems, both in bare-metal as well as in virtualized systems. I have managed up to 400 different machines in production situations. Currently I'm focused in helping people and companies move their systems and workflows away from big-tech, and into self-hosting solutions. Examples of things I can help with: Cloud migration: Escape vendor lock-in and unpredictable bills. I can help you assess what can move off the hyperscalers and execute the migration with minimal disruption to your ops. Infrastructure consulting & audits: A thorough review of your current infrastructure, workflows, and dependencies. You’ll get a clear picture of what’s working, what’s at risk, and a clear roadmap to make your operations leaner, more secure, and sovereign. Managed services & ongoing support: Not every company needs a full-time DevOps/SRE hire. I provide ongoing monitoring, maintenance, and support for your infrastructure. You get the reliability of a dedicated Ops team without the overhead. Team training & workshops: Hands-on workshops and training sessions for you team. I cover self-hosting fundamentals, FOSS tooling, infra ownership, and practical migration strategies. Tailored to your stack and skill level, from devs to decision makers.

I help companies automate their cloud infrastructure, reduce downtime, and optimize costs across AWS and GCP. As a Senior Site Reliability Engineer, I design and operate scalable, production-grade systems for Tier-1 identity and business-critical platforms—ensuring high availability, security, and performance while eliminating manual operations. 🚀 What I can help you with: * Infrastructure as Code (Terraform, CloudFormation) * Kubernetes (EKS, GKE) deployment, automation, and stabilization * CI/CD pipeline design, optimization, and automation * Cloud cost optimization (AWS & GCP) * Observability (Prometheus, Grafana, Dynatrace) * Incident debugging, root cause analysis, and reliability improvements 💡 Proven Results: * Reduced cloud costs by ~45% (~$18K annual savings) * Automated multi-service cloud workflows, reducing manual effort and errors * Improved system reliability and deployment speed for mission-critical platforms * Led cloud migrations and automation initiatives across enterprise environments If you're looking to automate your cloud, scale reliably, or fix critical production issues — I can help you build and optimize it the right way.

✅6X Certified DevOps & Cloud Engineer delivering enterprise-grade, production-ready systems ✅Helping SaaS Startups Scale Secure AWS & Kubernetes Infrastructure ✅Transparent, predictable pricing aligned with real scope and outcomes ✅Realistic timelines based on proven delivery, not assumptions ✅Battle-tested solutions designed for reliability, security, and scale ✅Long-term ownership mindset with clean documentation and ongoing support I am a Senior DevOps & Site Reliability Engineer (SRE) with 6+ professional certifications and deep hands-on experience designing, deploying, and maintaining production-grade cloud infrastructure on AWS, Azure, and Google Cloud Platform. My focus is not just “DevOps tasks” I build reliable, scalable, secure, and cost-efficient cloud systems that support real business growth. Clients hire me when they need stable infrastructure, automated delivery pipelines, and long-term operational confidence. 🧠 Results You Can Expect: ✔ Highly available cloud infrastructure ✔ Faster and safer deployments (CI/CD) ✔ Kubernetes environments that don’t break under load ✔ Reduced cloud costs without sacrificing performance ✔ Secure, auditable, and compliant architectures ✔ DevOps automation that actually works in production ☁️ Cloud Platforms: - Amazon Web Services (AWS) – VPC, EC2, EKS, RDS, Lambda, IAM, CloudWatch - Microsoft Azure – AKS, Azure DevOps, VNET, Functions, Cosmos DB - Google Cloud Platform (GCP) – GKE, Cloud Functions, Cloud Monitoring 🔁 CI/CD Pipelines & Automation: I design fully automated, production-ready pipelines with rollback, security scanning, and observability built-in. - GitHub Actions - GitLab CI/CD - Jenkins - AWS CodePipeline - ArgoCD (GitOps) 📦 Containers & Kubernetes: - Docker (multi-stage builds, optimization) - Kubernetes (EKS, GKE, AKS) - Rancher - Kustomize - Helm-based and GitOps-driven deployments 🏗 Infrastructure as Code (IaC): All infrastructure is version-controlled, reproducible, and auditable. - Terraform - AWS CloudFormation - AWS CDK - ARM Templates - Serverless Framework 📊 Monitoring, Logging & Observability: I implement actionable observability, not just dashboards. - Prometheus - Grafana - Loki - AWS CloudWatch - Google Cloud Monitoring 🔐 Security & Networking: - IAM & least-privilege access control - Secure VPC / VNET design - Site-to-Site VPNs - Network segmentation & isolation - Infrastructure security hardening 🧠 Cloud Services & Backend Integration: - AWS Lambda - Azure Functions - Google Cloud Functions 🗄 Databases & Storage: - MySQL - DynamoDB - Amazon Aurora - CloudSQL - Elasticsearch - Cosmos DB 🧑‍💻 Scripting & Automation: - Bash - Python - C++ - HTML / CSS (for infra dashboards & tooling) I don’t just “set things up.” I make sure your infrastructure keeps working tomorrow, next month, and next year. Keywords: Senior DevOps Engineer, Site Reliability Engineer (SRE), Cloud Architect, AWS Expert, Azure Engineer, Google Cloud Engineer, Kubernetes Expert, Docker, Terraform, Infrastructure as Code (IaC), CI/CD Pipelines, GitOps, ArgoCD, Cloud Automation, Cloud Security, Scalable Architecture, High Availability Systems, Cost Optimization, Python Automation

Hello! I’m Beishen, a seasoned Software Engineer and Site Reliability Engineer (SRE) with over 9 years of experience in building and maintaining reliable, scalable, and secure systems. My expertise lies in Golang development, cloud infrastructure, and DevOps best practices, making me a strong partner for your SaaS projects, platform optimizations, or distributed systems development. I bring: • Expertise in DevOps/SRE: Proficient in Kubernetes, Terraform, Docker, Ansible, and cloud platforms (AWS, GCP, Azure). • Golang Development: From backend microservices to command-line utilities and IoT solutions, I create clean, efficient, and scalable code. • Cloud Infrastructure Mastery: Skilled in designing and managing cloud systems with high availability, disaster recovery, and security in mind. • Problem-Solving Excellence: Proven track record of diagnosing and solving infrastructure, application, and performance challenges. • SaaS Development Expertise: Experience building end-to-end solutions for IoT, e-commerce, and fintech platforms. Highlights of My Work • Designed and deployed AxelGlobe’s scalable cloud infrastructure to support satellite operations. • Engineered a reliable trading platform for a cryptocurrency client to handle high-demand, secure transactions. • Built microservices for IoT platforms and SaaS projects, integrating technologies like MQTT, Redis, and Cassandra. • Developed an open-source CLI utility for IoT device initialization, widely adopted in the tech community. What I Offer Whether you’re looking to streamline your infrastructure, build custom SaaS applications, or enhance system reliability, I’m here to help. I excel in delivering: • Full-cycle cloud infrastructure management and optimization. • Custom Golang development for SaaS, IoT, or backend applications. • Continuous integration/continuous deployment (CI/CD) pipelines for seamless updates. • Proactive monitoring and incident response frameworks using tools like Prometheus and Grafana. Why Work with Me? With experience spanning startups, enterprise solutions, and freelance projects, I adapt quickly to your needs and ensure every project I undertake is delivered with precision and care. Let’s transform your vision into a tangible, robust solution. Ready to discuss your project? Let’s connect!

I am an AI Systems Engineer focused on building production-grade intelligent systems using machine learning, large language models, and multimodal AI. I design systems that can understand, generate, and act on data across text, audio, and visual inputs — moving beyond static automation into real-time, decision-capable AI systems. I specialize in taking AI from concept → architecture → production, building complete systems that integrate models, data pipelines, and scalable backends. 🧠 CORE AI EXPERTISE Generative AI & LLM Systems • Retrieval-Augmented Generation (RAG) using vector embeddings and real-time data • LLM-powered copilots, assistants, and automation systems • Context-aware AI applications with memory and dynamic reasoning Multimodal AI Systems • Document intelligence (OCR → structured data pipelines) • Speech systems (Speech-to-Text, Text-to-Speech) • Voice cloning and audio synthesis systems • Cross-modal pipelines combining text, audio, and visual data Machine Learning Systems • End-to-end ML pipelines (training, deployment, inference) • Time-series forecasting and predictive modeling • Anomaly detection and intelligent monitoring systems 🚀 AI SYSTEMS BUILT Multimodal AI Platform (Audio + Document Intelligence) Designed and deployed a unified AI system integrating: • AI OCR Scanner → Converts PDFs and images into structured text • Speech-to-Text → Multi-language transcription (125+ languages) • Text-to-Speech → Natural audio generation (17+ languages) • Voice Cloning → High-accuracy voice replication → Enables voice assistants, document automation, accessibility tools, and conversational AI systems AI FinOps Intelligence System (Enterprise Scale) • ML-based cost prediction using NeuralProphet, Darts, CatBoost • Recommendation systems using ML + vector similarity • LLM-powered assistants for real-time operational insights AIVault — AI Content Authenticity Platform • Multi-modal AI detection across image, video, audio, and text • Real-time verification system for enterprise use cases • AI + backend system design for scalable deployment Highway Guard — Computer Vision System • Real-time detection using deep learning (YOLO-based models) • Processes live visual data for intelligent monitoring and decision-making 📊 IMPACT • Built AI systems operating at large-scale, production environments • Automated workflows using LLMs, reducing effort from days to minutes • Designed real-time AI systems handling high concurrency workloads • Delivered AI-driven systems improving efficiency, accuracy, and automation ⚡ HOW I WORK I approach problems as a systems engineer, not just a model builder: • Define the problem from a data + system perspective • Design appropriate ML / LLM architectures • Build end-to-end pipelines (data → model → API → product) • Optimize for scalability, performance, and real-world reliability 🎯 HOW I CAN HELP YOU AI PRODUCT DEVELOPMENT • LLM apps (RAG, copilots, assistants) • Multimodal AI systems (text, audio, vision) • AI-powered automation tools END-TO-END AI SYSTEMS • Model → backend → APIs → deployment • Scalable AI architecture design • Production-ready AI systems (not prototypes) ➤ LET’S BUILD SOMETHING REAL If you're building an AI system that needs to work reliably in production — not just a demo — I can help you design and implement it end-to-end. Message me to discuss your project.

I help organizations design, automate, secure, and operate reliable cloud infrastructure that scales with business growth. With 7+ years of experience spanning cloud engineering, DevOps, Site Reliability Engineering (SRE), cybersecurity, and IT infrastructure, I specialize in building resilient platforms, automating deployments, improving observability, and implementing security best practices across modern cloud environments. My background combines hands-on infrastructure engineering, cloud operations, security engineering, and enterprise IT administration, allowing me to deliver solutions that are scalable, highly available, secure, and operationally efficient. Services I Offer - Kubernetes cluster deployment, administration, and troubleshooting - Cloud infrastructure design and implementation - Terraform automation and Infrastructure as Code - CI/CD pipeline design and optimization - Cloud migration and modernization projects - DevSecOps implementation and security automation - Monitoring, logging, and observability solutions - Security hardening and access management - Incident response and operational improvements - Platform reliability and performance optimization - Identity and access management solutions - Cloud cost optimization and operational efficiency reviews - Microsoft Azure and Microsoft 365 security projects Why Clients Work With Me - Reduced deployment times through CI/CD automation and Infrastructure as Code. - Improved platform visibility using Datadog, Grafana, Prometheus, and centralized logging solutions. - Built and managed Kubernetes environments for scalable application delivery. - Implemented secure identity and access controls across cloud and hybrid environments. - Designed highly available infrastructure with disaster recovery and business continuity considerations. - Automated operational processes to reduce manual effort and improve reliability. - Combined cloud engineering, security, and infrastructure expertise to deliver secure-by-design solutions. I focus on delivering practical engineering solutions that improve reliability, reduce operational overhead, strengthen security, and accelerate deployment cycles. Whether you need a production-ready Kubernetes platform, automated cloud infrastructure, a mature observability stack, secure identity management, or improvements to service reliability, I bring a combination of cloud, infrastructure, security, and operations expertise to every engagement. Core Expertise Cloud Platforms - Amazon Web Services (AWS) - Microsoft Azure - Google Cloud Platform (GCP) DevOps & Platform Engineering - Kubernetes - Docker - Helm - GitHub Actions - Azure DevOps - GitOps - CI/CD Pipeline Design & Automation - Containerized Application Deployments Infrastructure as Code (IaC) - Terraform - AWS CloudFormation - Infrastructure Automation - Environment Provisioning - Configuration Management (Ansible) Site Reliability Engineering (SRE) - Reliability Engineering - System Design - Monitoring & Alerting - Incident Response - Root Cause Analysis (RCA) - Capacity Planning - Performance Optimization - High Availability Architecture - Disaster Recovery Planning - Operational Excellence Observability & Monitoring - Datadog - Grafana - Prometheus - Metrics Collection - Distributed Tracing - Alerting & Incident Management Security & DevSecOps - Identity & Access Management (IAM) - Zero Trust Architecture - Multi-Factor Authentication (MFA) - Vulnerability Management - Cloud Security - Security Automation - Endpoint Security - Compliance & Governance - Security Monitoring & Threat Detection Systems & Infrastructure - Linux Administration - Windows Server - Active Directory - DNS - DHCP - VMware - Networking - Reverse Proxies - NGINX - Envoy Proxy - HAProxy - Traefik - Caddy Automation & Scripting - PowerShell - Bash - Python If you're looking for a Cloud Engineer, DevOps Engineer, Site Reliability Engineer (SRE), Platform Engineer, or DevSecOps specialist who can bridge infrastructure, automation, observability, and security, I'd be happy to discuss your project.