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 help founders and businesses turn MVPs, AI-assisted applications, and SaaS products into secure, scalable, production-ready systems. I have experience across full-stack development, cloud architecture, DevOps, infrastructure, API integration, and production operations. My focus is not just writing code but making applications reliable enough for real users: clean deployment, secure configuration, database setup, monitoring, backups, CI/CD and long-term maintainability. I can help with: - SaaS and AI application production deployment - AWS, Azure, Google Cloud, and DigitalOcean infrastructure - Kubernetes, Docker, and containerized deployments - GitHub Actions, GitLab CI/CD, and automated release workflows - Supabase, PostgreSQL, MySQL, and database administration - API integrations, OAuth, webhooks, and token handling - Cloudflare, DNS, SSL, domains, and edge protection - Backups, logging, monitoring, and production hardening - Architecture review, refactoring, scalability, and cost optimisation My approach is practical and production-focused: understand the current system, identify the real risks, simplify where needed and build a cloud setup that is secure, maintainable and cost-effective. I am a good fit if you have a working MVP or SaaS application and need an experienced cloud/full-stack engineer to make it production-ready and scalable.

𝗘𝗻𝗵𝗮𝗻𝗰𝗲 𝗬𝗼𝘂𝗿 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲, 𝗥𝗲𝗱𝘂𝗰𝗲 𝗗𝗼𝘄𝗻𝘁𝗶𝗺𝗲, 𝗮𝗻𝗱 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀 𝘄𝗶𝘁𝗵 𝗕𝗲𝘀𝘁-𝗶𝗻-𝗖𝗹𝗮𝘀𝘀 𝗗𝗲𝘃𝗢𝗽𝘀 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 I design and implement scalable, secure, and high-performance cloud infrastructure that streamlines software delivery, optimizes resource usage, and ensures system reliability. With 5+ years of experience in DevOps, multi-cloud automation, and Kubernetes orchestration, I help businesses achieve efficiency, security, and cost-effective cloud operations. 🔹 My Expertise: ✔ Cloud Infrastructure & Automation – Deploying optimized cloud solutions on AWS, Azure, GCP, and OCI. ✔ CI/CD Pipeline Development – Automating software delivery using GitHub Actions, Jenkins, and ArgoCD. ✔ Kubernetes & Container Orchestration – Managing multi-node clusters, Helm, Longhorn, and microservices. ✔ Infrastructure as Code (IaC) – Automating infrastructure provisioning with Terraform and Ansible. ✔ Security & Compliance – Implementing IAM policies, cloud security best practices, and DevSecOps solutions. ✔ Monitoring & Observability – Configuring Prometheus, Grafana, and ELK Stack for real-time insights. ✔ Linux Administration & Automation – Optimizing system performance with Bash and Python scripting. ✔ Reverse Proxy & Load Balancing – Managing Nginx, CloudPanel, and traffic routing. 🔹 Why Work With Me? ✅ Optimized Deployments & High Availability – Reduce downtime and streamline release cycles. ✅ Cost-Efficient Cloud Strategies – Maximize performance while minimizing expenses. ✅ Security-Driven DevOps – Implement best practices to safeguard your cloud infrastructure. ✅ Automation & Scalability – Eliminate manual processes and future-proof your cloud operations. 🚀 Whether you're migrating to the cloud, optimizing Kubernetes clusters, automating CI/CD pipelines, or securing your infrastructure, I can help you build a resilient, scalable, and efficient DevOps environment.

I help startups and growing businesses build scalable SaaS products, AI-powered applications, cloud infrastructure, and backend systems that are designed for long-term growth. Over the last 10+ years, I've worked as a CTO, Engineering Manager, and Senior Full-Stack Engineer, helping companies take products from idea to production while keeping performance, scalability, and maintainability at the core. A few projects I've worked on: • PrepLadder (Acquired by Unacademy) Led engineering for a platform serving over **2 million users**, working on AWS microservices, DRM-protected video streaming, personalized learning systems, and large-scale backend architecture. • Enciser Co-founded an IoT and energy management platform where I designed a serverless AWS architecture for real-time device monitoring, mobile applications (iOS & Android), and cloud-based automation. • Enterprise Platforms Built backend systems, cloud infrastructure, and distributed applications for companies including Zucora, TruckBook, Emerald Planet, and Kryptet, using Go, Python, Kubernetes, Docker, Redis, Cassandra, and modern cloud-native architecture. Across my career, I've helped design and deploy 50+ production applications across SaaS, AI, IoT, marketplaces, fintech, and enterprise platforms. My core expertise • Backend Development Python, Node.js, Go, Django, Flask • Frontend React, React Native, Next.js • Databases PostgreSQL, MySQL, MongoDB, DynamoDB, Cassandra, Redis, ScyllaDB • Cloud & DevOps AWS, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, Ansible • Integrations Stripe, Twilio, OpenAI, Firebase, Shopify, Slack, SendGrid, Google Maps, Zendesk, and other third-party APIs. What I usually help clients with : ✔ Building scalable backend architecture ✔ AI & LLM integrations ✔ SaaS product development ✔ API design and third-party integrations ✔ Real-time applications using WebSockets, MQTT, and event-driven systems ✔ Cloud infrastructure, DevOps, and deployment automation ✔ Engineering leadership and technical architecture What it's like working with me I don't just write code,I help clients make good technical decisions.I'm comfortable joining an existing codebase, understanding how it works, identifying bottlenecks, and delivering features that are easy to maintain as the product grows. I believe in clean architecture, clear communication, proper documentation, and shipping reliable software instead of quick fixes. I've worked with distributed teams across Canada, Australia, Sweden, and India, and I'm equally comfortable working independently or collaborating closely with founders and engineering teams. If you're building a product that needs to scale, I'd be happy to discuss how I can help. ramansaini.in

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!

🔸I'm a seasoned DevOps Engineer with over 4 years of experience and a knack for orchestrating tech landscapes. 🔸I firmly believe that DevOps is an art that goes beyond just mastering the best tools in the field – it's about strategic thinking, problem-solving, and continuous improvement that go hand-in-hand with them. 🔸With my extensive expertise in a wide range of technologies, including Linux, bash scripting, Docker, Swarm, Kubernetes, Nomad, OpenShift, GCP, AWS, DigitalOcean, Azure, Hetzner, and OpenStack, I bring a diverse skill set to the table. Moreover, I excel in implementing CI/CD and GitOps practices, streamlining software delivery processes and fostering a culture of automation and collaboration. 🔸I am well-versed in infrastructure-as-code tools like Terraform, Ansible, and Packer, providing organizations with efficient and scalable infrastructures. My proficiency in Python and Lua programming languages enables me to create innovative solutions, automate complex tasks and implement effective API integrations. 🔸I am a natural problem solver, always seeking innovative ways to optimize processes and enhance productivity. I believe in effective communication and collaboration, which makes me a valuable addition to any project. 🔸If you are looking for a productive DevOps Engineer with a business-driven approach, I am here to make a difference. Let's connect and discuss how to turn your vision into reality.

Profile: ---------- I build AI systems that work in production — not just prototypes. My focus is on Generative AI, agentic AI workflows, and the cloud infrastructure to run them reliably at scale. Over 20+ years I've designed and shipped enterprise platforms spanning AI orchestration, API integrations, microservices, and end-to-end DevOps pipelines. I work primarily in Python, Java, Node.js, deploying on AWS, GCP, and Azure using Kubernetes, Docker, and Infrastructure-as-Code What I build: ---------------- AI agents and orchestration platforms with intelligent routing, guardrails, and audit trails. RAG pipelines with structured outputs and validation layers for production accuracy. API-first microservices and real-time data pipelines (Kafka, Redis, WebSockets). Cloud-native infrastructure with CI/CD, monitoring, and cost optimization baked in. Recent projects: -------------------- AI2ME — Enterprise AI orchestration middleware connecting multiple LLM providers with compliance guardrails (HIPAA, GDPR, SOC2), intelligent routing, and cost optimization across regulated industries. AI-Powered EdTech Suite — Built AI-driven assessment generation, avatar creation, and automated evaluation platforms with custom model training and structured output pipelines. Kubernetes File Processing Platform (Glasswall) — Designed multi-service K8s cluster with Python and Golang microservices, deployed via Helm charts across standalone and cloud-managed clusters. IoT Certificate Provisioning (Qualcomm) — Architected microservices-based platform for SSL certificate provisioning across IoT devices, deployed on AWS with Docker containers. Core stack: -------------- AI/LLMs: OpenAI, Claude, MCP, RAG, vector databases (Pinecone, Chroma), prompt engineering, structured outputs Backend: Python (FastAPI, Flask), Node.js (Express), Java-Springboot, Golang, REST/GraphQL APIs Cloud: AWS, GCP, Azure (Almost all services) DevOps: Kubernetes, Docker, Terraform, GitHub Actions, Jenkins, CI/CD pipelines Data: PostgreSQL, MongoDB, DynamoDB, Kafka, Redis, Elasticsearch

I am a Full Stack Node , Express , Next, React , AI/ML Developer, DevSecOps Engineer with over 12 years of development experience, 5 years in Cloud DevOps, Including more than 3 years specializing in secure and automated GenAI and AI/ML deployments. I help organizations deploy and manage LLM-based and agentic AI applications securely on both cloud and on-premises environments using DevSecOps and AIOps best practices. My expertise spans secure agentic systems infrastructure, MLOps, containerization of LLM workloads, integration of monitoring and alerting, and end-to-end security implementation across CI/CD and production environments. What I Do: • Deploy GenAI/LLM-based applications on AWS, Azure, GCP, or on-prem with Docker and Kubernetes • Design and manage infrastructure for agentic systems (LangChain, AutoGPT, RAG apps) • Implement security automation across AI/ML pipelines using tools like SonarQube, OWASP Dependency Check, AWS WAF, IAM • Develop CI/CD pipelines for AI models and inference services with Jenkins, GitLab, GitHub Actions • Containerize AI models and agents for reproducible, scalable deployment • Deploy and manage vector databases like Qdrant, Pinecone, and Weaviate • Set up monitoring and alerting for GenAI applications using Prometheus and Grafana • Implement DevSecAIOps workflows that include security, observability, and performance monitoring Technical Skills: - Cloud Platforms: AWS, Azure, GCP, DigitalOcean - Infrastructure as Code: Terraform, CloudFormation - CI/CD: Jenkins, GitHub Actions, GitLab CI - Containerization: Docker, Kubernetes, ECS - AI/ML & GenAI: LangChain, LlamaIndex, OpenAI API, Hugging Face, FastAPI, Streamlit - Monitoring: Prometheus, Grafana, CloudWatch - Security: IAM, AWS Inspector, WAF, OWASP, SonarQube, Nexus3, Dependency Scanning - Languages: Python, Bash - Version Control: Git - Others: JIRA, Confluence, Cert-Manager, API Gateway Past Projects: 1. Deployed secure, containerized GenAI agents using LangChain and FastAPI on AWS, with IAM policies, WAF, and Kubernetes-based autoscaling. 2. Created cross-cloud DevSecOps pipelines for ML models using Jenkins, GitHub Actions, SonarQube, and Terraform. 3. Designed on-prem agentic stack with Docker, Kubernetes, custom ingress, and vector DB integration. 4. Built an AIOps observability layer for LLM agents using Prometheus, Grafana, and Lambda for auto-remediation. If you're building GenAI-powered applications, LLM-based systems, or scalable AI infrastructure and want to ensure everything is secure, automated, and production-ready — I can help. Thank you! Deepak Kumar

DevOps Engineer and Linux System Administrator specializing in AWS, cPanel/WHM, Docker, CI/CD pipelines, and AI automation workflows. I help businesses with DevOps infrastructure, Linux server management, cPanel/WHM hosting, AWS deployments, Docker containerization, and AI automation workflows. Work I do AI Agents & Automation Systems • OpenClaw deployment & gateway configuration • AI agent infrastructure (self-hosted & cloud-based) • Secure API integrations for AI systems • n8n self-hosted automation setup • Workflow automation & backend orchestration • Webhook integrations & automation pipelines • AI chatbot deployment & agent routing systems Cloud & DevOps Infrastructure • AWS (EC2, Lightsail, Load Balancer, VPC, IAM, Security Groups) • Google Cloud, Hetzner, Linode, Contabo • Linux server administration (Ubuntu, CentOS) • Docker & containerized deployments • CI/CD & automated deployments • Production server hardening & performance tuning • High availability & load balancing setups. Web Hosting & Control Panels • cPanel / WHM server management • Plesk configuration & optimization • Hosting control panel migrations • WordPress deployment & performance optimization • Nginx / Apache / OpenLiteSpeed configuration • MySQL & database optimization DNS, Email & Security • DNS setup (Cloudflare, Route53, GoDaddy) • SPF, DKIM, DMARC configuration • Email server setup & troubleshooting • SSL/SNI multi-domain fixes • Firewall design & server security maintenance • Backup & disaster recovery systems Self-Hosted & Production Deployments • VPS & dedicated server deployments • Nginx reverse proxy with SSL • Docker-based self-hosted applications • Secure domain & SSL configuration • Scalable backend environments • End-to-end infrastructure setup from scratch

I'm a DevOps Engineer, full-stack developer, and cybersecurity analyst with over 6 years of hands-on experience building, securing, and operating production systems end-to-end. I work across the full lifecycle , from infrastructure provisioning and CI/CD pipelines to backend services, frontend interfaces, and security audits so a single engagement can cover what would otherwise need three specialists. My core stack spans three domains: DevOps & Cloud Infrastructure - Infrastructure as Code with Terraform and Ansible; CI/CD pipeline engineering on GitLab CI (also Azure DevOps); secrets management and PKI with HashiCorp Vault; full LGTM observability stack (Grafana, Loki, Tempo, Mimir, Prometheus) with OpenTelemetry instrumentation; container deployment with Docker and Podman; hybrid cloud + on-prem operations across Proxmox and Azure; zone-segmented networking with deny-by-default firewall, WireGuard, Tailscale, and Cloudflare edge. Full-Stack Development - React, Next.js, TypeScript, Node.js, Python, and C++; modern UI work with Tailwind, GSAP, and Radix/shadcn; REST and GraphQL APIs; databases including PostgreSQL, SQL Server, MongoDB, MySQL, and Redis. Cybersecurity - penetration testing, vulnerability assessment, and security audits using Kali Linux, Metasploit, and Burp Suite. Security-first mindset applied across every layer of the work — from VLAN design to application code. What sets me apart is the range: I can take an idea from architecture and Terraform modules through to a hardened, monitored, deployable production system — without handing off to a different specialist at each layer. Available for: - DevOps & SRE engagements - Infrastructure as Code, CI/CD pipeline design, observability rollouts, secrets/PKI implementation - Cloud migration and hybrid cloud architecture (Azure + on-prem, container platforms) - Full-stack web application development (React / Next.js + Node.js / TypeScript) - Cybersecurity assessments and penetration testing - Database design, optimization, and management - System administration and IT support - Mobile application development - AI/ML integration projects