Hire the Best Containerization Professionals

Hey, Choudhry here. Most freelancers either build AI agents or they deploy infrastructure. I do both. So when your project hits the messy handoff between the two, and it always does, nothing breaks. That seam is where most builds fail, and it’s the reason you’re reading past the first line. I build the infrastructure that takes AI from notebook to production, the agents that run on it, and the full-stack platforms that wrap around both. Currently Acting CTO at Peregrine Ventures AI and Building an awesome product Deplexify. Previously shipped production systems at SINO-PAK Center of AI, TCEngine AI, Nestbox and KAUST Supercomputing Labs for Shaheen III. A quick filter: if you want the cheapest bid, I’m not it. If you want it built once, correctly, by someone who owns the outcome, keep reading. 🚀 What I deliver LLM Serving & GPU Infrastructure vLLM optimization, NVIDIA Triton, multi-GPU tensor parallelism, MIG scheduling on H100/A100, Kubeflow pipelines, GPU memory profiling. Kubernetes Platforms Bare-metal K8s on Proxmox/Rancher (Calico, MetalLB, HAProxy), managed K8s on GKE/EKS/AKS, GitOps via ArgoCD, IaC via Terraform/Ansible/Pulumi. AI Agents & Automation Voice agents on Retell AI, multi-agent systems with LangGraph/LangChain, Claude Agent SDK, n8n workflows, MCP integrations (Gmail, Outlook, custom). Document Intelligence Docling + Microsoft GraphRAG pipelines, OCR + LLM extraction (Deepseek R1, GPT-4o), invoice automation, contract and lease analysis. Platforms & Full-Stack End-to-end product builds in Next.js/TypeScript, multi-tenant SaaS platforms, operator dashboards, REST APIs, PostgreSQL schema design, GCP Cloud Run + Cloudflare deployment. The same hands that run the infra ship the app on top of it. 📊 Selected results ▸ TCEngine AI — Cut LLM inference from 3.2s → 800ms; dropped cloud spend from $10K → $4K/month ▸ SINO-PAK Center of AI — Bare-metal Kubernetes for 1,000+ concurrent users, zero unplanned downtime over 12 months ▸ FORBMAX / KAUST Shaheen III — IaC automation for GPU cluster orchestration on a top-10 supercomputer ▸ Nestbox AI — Document intelligence pipeline for commercial real estate lease analysis (Docling + GraphRAG), in production on GCP ▸ Upwork — V100 8-GPU vLLM deployment, quad-GPU tensor-parallel rig, end-to-end Kubernetes GPU pipeline — all delivered, all 5★ 🛠 Stack Orchestration: Kubernetes, Docker, Rancher, Kubeflow, vLLM, NVIDIA Triton IaC: Terraform, Ansible, Pulumi, Helm, ArgoCD Cloud: GCP (GKE, Vertex AI, Cloud Run), AWS (EKS, SageMaker, EC2), Azure (AKS) Agent layer: LangGraph, LangChain, Claude Agent SDK, Retell AI, n8n, MCP Document AI: Docling, GraphRAG, Deepseek R1, GPT-4o, vector DBs Full-stack: Next.js, React, TypeScript, PostgreSQL, REST APIs Observability: Prometheus, Grafana, Loki, Datadog Languages: Python, Go, TypeScript, Bash, SQL 🤝 How I work Direct communication, real timelines, and I don’t disappear mid-project. I’ll tell you upfront if I’m not the right fit, because a clean no saves us both weeks. Recent client feedback says it better than I can: “He single-handedly built our Kubernetes infrastructure for our GPU setup and the end-to-end pipeline. A full stack AI guy.” “Energetic, hungry, and sharp. When he says he’s gonna do something by a deadline, he does it. Owns accountability.” “Worked late into the night to get it done. Delivered what he promised.” Fixed-price for scoped work, hourly for ongoing engagements. Tell me what you’re building. I’ll come back with a frank read on whether I can help and what it’ll take.

Most AI freelancers build demos. I build systems that ship. 🚀 I'm a Full-Stack AI Engineer with a B.Sc. in Artificial Intelligence and I specialize in one thing: turning complex AI problems into production-ready solutions that scale. From day one, I own the full stack: data ingestion, model architecture, evaluation, API development, containerization, and deployment. No handoffs. No gaps. Just a complete system, built right. 🎯 What I engineer: 🤖 ML & Deep Learning custom model training, fine-tuning, forecasting, classification (TensorFlow, PyTorch) 🧠 LLMs & NLP RAG pipelines, semantic search, document intelligence, agentic systems (LangChain, OpenAI API) 👁️ Computer Vision & OCR detection, segmentation, document parsing at scale ⚡ Production AI APIs high-performance FastAPI/Flask backends, Dockerized and deployment-ready 🔄 Intelligent Automation AI-driven decision systems built for real business logic 🛠️ Stack: Python · PyTorch · TensorFlow · LangChain · OpenAI API · FastAPI · Docker · HuggingFace · OpenCV I don't do experiments. I build things that work reliably, efficiently, and exactly to spec. ✅ If your project demands serious AI engineering, I'm the engineer you're looking for. 💼

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'm a passionate DevOps engineer from Vietnam 🇻🇳 who helps businesses build resilient, scalable systems that drive growth and competitive advantage. What I Deliver: - AI Integration That Works - Custom MCP (Model Context Protocol) servers, seamless LLM integration, and intelligent automation that actually improves your bottom line - Bulletproof Infrastructure - High-availability systems that handle traffic spikes and scale automatically - Data Pipelines That Perform - AWS-based ETL/ELT solutions that turn your data into actionable - Technical Project Manager leading a team to build an e-commerce website while ensuring SLO/SLA compliance, and Platform Engineering Lead responsible for building a platform engineering culture. --- 🎯 Core Solutions I Provide 🧠 AI & Intelligent Automation • MCP Development & AI Agent Integration • N8N Integration • OpenClaw Integration 📊 AWS Data Engineering • Real-time streaming analytics & data quality monitoring ☁️ DevOps & Infrastructure • Kubernetes, Docker containerization • Terraform, AWS CDK infrastructure as code • CI/CD with ArgoCD, GitHub Actions, GitLab • Monitoring with Grafana, Prometheus, ELK stack ⚡ High-Performance Systems • Microservices architecture & API development • Load balancing with Nginx, Traefik • Database optimization (PostgreSQL, MongoDB, Redis) • Serverless computing with AWS Lambda --- 🛠️ Technical Expertise Languages: Python (FastAPI), JavaScript (NestJS), Go, TypeScript Cloud: AWS (Solutions Architect level), multi-cloud strategies Automation: Ansible, Python scripting, N8N, OpenClaw Databases: PostgreSQL, MySQL, MongoDB, Redis --- 🇻🇳 Bonus: Planning a trip to Vietnam? I'll create a personalized travel itinerary showcasing Vietnam's stunning beaches, vibrant cities, and hidden gems - completely free! It's my way of sharing my beautiful country with the world. --- Ready to build something extraordinary together?

I am a skilled DevOps Engineer with over 8 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐡𝐚𝐧𝐝𝐬-𝐨𝐧 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, specializing in cloud platforms like AWS, GCP, Azure, DigitalOcean, and IBM Cloud. My expertise in Docker, Kubernetes, Terraform, GitLab, and Python helps me deliver efficient, scalable, and secure infrastructures tailored to your business needs. I also have strong experience in domain hosting management and Cloudflare configuration for performance optimization, DNS management, and enhanced security. 📌 𝗞𝗲𝘆 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲: ✅ 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: AWS: Proficient in EC2, ECS, S3, IAM, Lambda, Route 53, and RDS. GCP: Experienced in leveraging GCP services for building scalable and reliable applications. Azure & DigitalOcean: Skilled in managing and deploying on multi-cloud environments. ✅ 𝐂𝐈/𝐂𝐃 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Expertise in implementing CI/CD pipelines using Jenkins, GitLabCI, and CircleCI, ensuring efficient and reliable software delivery. ✅ 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Mastery in Docker and Kubernetes for container orchestration, enabling seamless deployment and scaling. ✅ 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂): Proficient in Terraform and Ansible for automating infrastructure and configuration management. ✅ 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐋𝐨𝐠𝐠𝐢𝐧𝐠: Grafana, Prometheus, and Zabbix for proactive monitoring and performance optimization. ✅ 𝐒𝐞𝐫𝐯𝐞𝐫𝐥𝐞𝐬𝐬 𝐂𝐨𝐦𝐩𝐮𝐭𝐢𝐧𝐠 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Designing scalable solutions with serverless architectures, combined with deployment automation and infrastructure cost optimization. ✅ 𝐋𝐢𝐧𝐮𝐱 𝐀𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧: Extensive experience with Linux (Ubuntu/CentOS), shell scripting (Bash), and web server management (Apache, Nginx, Tomcat). ✅ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Skilled in managing both SQL and NoSQL databases, including MySQL, PostgreSQL, and MongoDB. 🚀 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈 𝐎𝐟𝐟𝐞𝐫: - Cloud Migrations: Smooth and efficient migrations with minimal downtime. - Infrastructure Optimization: Reducing operational costs while maintaining high performance. - CI/CD Pipelines: Automating pipelines for faster, error-free deployments. - High Availability & Scalability: Ensuring your system can handle growth and peak loads. - Compliance Standards: Adhering to PCI DSS, HIPAA, GDPR, and other industry standards. - Domain Hosting & Management: Secure and reliable domain setup, configuration, and hosting management. - Cloudflare Integration & Optimization: Enhancing security, performance, DNS management, and DDoS protection using Cloudflare services. 🌟 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: -Proven Expertise: Over 8 years of experience in managing, optimizing, and automating DevOps infrastructures. -Customized Solutions: Tailored strategies that align with your business goals and budget. -Measurable Impact: Increased deployment efficiency by 40%, reduced costs by 30%, and maintained 99.9% uptime for critical services. 𝐂𝐨𝐫𝐞 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: -Cloud Platforms: AWS, GCP, Azure, DigitalOcean -CI/CD Tools: Jenkins, GitLabCI, CircleCI -Containerization: Docker, Kubernetes, OpenShift -IaC Tools: Terraform, Ansible, CloudFormation -Monitoring: Grafana, Prometheus, Zabbix -Scripting: Python, Bash -Databases: SQL, MySQL, PostgreSQL, MongoDB -Let’s work together to take your infrastructure to the next level – optimizing performance, reducing costs, and ensuring scalability 🚀 Need a DevOps Engineer who can optimize your AWS, Kubernetes, and Azure DevOps environments? Let’s automate your infrastructure, streamline deployments, and scale your applications effortlessly! 📩 Click the "Hire Now" button and let’s build something amazing together!

☘ TOP RATED · 100% Job Success Senior System / DevOps Engineer with 13+ years of experience, specializing in the hosting industry, cloud infrastructure, and automation on AWS, GCP, and Azure. AWS Certified Solutions Architect – Associate. Core expertise: • Cloud & Infrastructure — AWS (EC2, VPC, RDS, Lambda, CloudFront, Route53, ELB, S3, ECS/ECR), GCP, Azure • Infrastructure as Code — CloudFormation, Terraform, Ansible • CI/CD & Automation — Jenkins, GitHub Actions, Bash, Python • Containers — Docker, Docker Compose, Kubernetes • Hosting & Web Stack — WordPress, Node.js, Ruby on Rails, .NET Framework / .NET Core Top projects: ☘ AWS Migration & Modernization — Migrated a production workload from AWS Lightsail to a multi-region AWS architecture (VPC, EC2 Auto Scaling, RDS Serverless v2, Route53, CloudFront, ELB, S3, Lambda). Fully managed as code with CloudFormation and automated via GitHub Actions and Python. ☘ Jitsi Video Platform — Provisioned, installed, and configured a production Jitsi deployment using Terraform and Ansible. ☘ Multi-Stack Web Hosting on OVH Cloud — Built, deployed, and managed JavaScript, Node.js, WordPress, and Ruby on Rails sites using Jenkins and Docker Compose. ☘ .NET on AWS — Dockerized and deployed .NET Framework and .NET Core APIs to AWS ECS/ECR with Jenkins and GitHub pipelines. I'm responsive throughout the day and happy to provide ongoing support after a project wraps up. Feel free to reach out any time — I'd be glad to help.