Is your cloud bill climbing with no idea why — or is your team shipping fast but quietly accumulating security debt? I help SaaS startups and scale-ups fix both. Secure pipelines, stable Kubernetes clusters, lean cloud spend, and infrastructure that your engineers can trust — not fight against. With 5+ years across AWS, Azure, GCP, Kubernetes, DevOps and DevSecOps, I've helped fintech and SaaS teams go from manual, fragile deployments to fully automated, security-hardened pipelines — cutting deployment times by up to 70% and cloud spend by 20–40%, while closing security gaps before they turn into incidents. 𝗪𝗵𝘆 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲? ============================ ✅ 5+ Years of Real-World Experience across AWS, Azure, GCP, Kubernetes, DevOps and DevSecOps ✅ Results That Speak: 70% faster deployments, 20–40% cloud cost reduction, zero critical breaches ✅ Full-Time Availability: 40+ hours/week with fast, consistent communication ✅ Startup-Friendly: Senior-level execution without the full-time hire cost ✅ Awarded "Certificate of Appreciation – Ultimate Team" for production reliability under scale 𝗠𝘆 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀 ============================ 🏆 DevOps & CI/CD: GitHub Actions | GitLab CI | Azure DevOps | Jenkins — staging gates, rollbacks, zero-downtime deploys 🏆 DevSecOps & Pipeline Security: SAST/DAST | Secrets Management | IAM Hardening | WAF | Compliance Automation — security baked into every stage 🏆 Kubernetes Platform Engineering: EKS | AKS | Helm | ArgoCD | Flux | Cilium/Calico | Istio/Linkerd | HPA/VPA — production-hardened, not just deployed 🏆 Cloud Infrastructure & IaC: AWS | Azure | GCP | Terraform | Ansible — full environment builds and migrations from on-prem or legacy setups 🏆 FinOps & Cloud Cost Optimization: Right-sizing compute | Idle resource cleanup | Tagging strategies | Cost visibility dashboards — cutting waste, not corners 🏆 Monitoring & Observability: Prometheus | Grafana | Datadog | CloudWatch — dashboards, alerting, and incident response automation 🏆 Disaster Recovery: Velero backup strategies | Cross-region failover — downtime becomes a non-event 𝗥𝗲𝗰𝗲𝗻𝘁 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 ============================ → Managed full AWS environment for an Australian SaaS company — integrated Datadog with automated incident reporting, reducing response time significantly → Built and maintained AKS infrastructure for a fintech team — Terraform-provisioned clusters with multi-stage CI/CD in Azure DevOps, Agile environment → Reduced cloud spend by 20–40% for scale-up clients through right-sizing, idle resource cleanup, and FinOps dashboards → Awarded "Certificate of Appreciation – Ultimate Team" for infrastructure reliability under high-scale production load 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝗦𝘂𝗽𝗽𝗼𝗿𝘁 ============================ 👨‍💻 Full-Time Availability: 40+ hours per week dedicated to your project 💬 Fast Communication: Average response under 4 hours — always available for calls and status updates 💡 Free Initial Audit: I'll review your current setup and tell you exactly where the gaps are — before you commit 🌍 Open to Contract-to-Hire: If the fit is right, I'm open to longer-term arrangements 𝗣𝗮𝗰𝗸𝗮𝗴𝗲𝘀 ============================ Choose the scope that fits your current need — from a focused audit to full ongoing platform support. 🔍 Audit & Recommendations — 10 Hours Full review of your CI/CD pipeline, cloud infrastructure, or Kubernetes cluster. Delivered as a prioritized report with exact fixes. Discounted Price: $99 (Regular Price: $149) ⚙️ Standard Engagement — 44 Hours Ideal for a focused project: pipeline rebuild, K8s hardening, cost optimization sprint, or DevSecOps integration. Discounted Price: $299 (Regular Price: $499) 🚀 Full Platform Support — 88 Hours Ongoing support and execution across your entire cloud platform — architecture, security, cost, and reliability. Discounted Price: $799 (Regular Price: $999) 𝗕𝗲𝘀𝘁 𝗙𝗶𝘁 𝗜𝗳 𝗬𝗼𝘂 𝗔𝗿𝗲 ============================ → A SaaS startup scaling fast and need security + infrastructure done right from day one → A team overpaying on AWS or Azure with no visibility into why → An engineering team whose Kubernetes cluster is a bottleneck, not an accelerator → A company that had a production incident and needs the platform properly hardened → A growing company that needs senior DevOps expertise without a full-time hire 𝗟𝗲𝘁'𝘀 𝗦𝗼𝗹𝘃𝗲 𝗬𝗼𝘂𝗿 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 ============================ 📌 Available for audits, fixed-scope projects, and ongoing platform support. Message me with your challenge — I typically respond within a few hours. Keywords for Expertise: DevOps Engineer | DevSecOps | AWS | Azure | Kubernetes | GCP | EKS | AKS | Terraform | CI/CD | GitHub Actions | GitLab CI | Jenkins | Azure DevOps | ArgoCD | GitOps | Helm | Prometheus | Grafana | Datadog | FinOps | Cloud Cost Optimization | IaC | Docker | SAST | DAST | IAM | WAF | Platform Engineering | Cloud Architecture | SRE

I am a seasoned Data Engineer with over 10 years of experience in designing and building scalable data solutions. I specialize in developing robust data pipelines across cloud platforms (AWS, GCP, Azure) and on-premise environments. Services Offered: ✅ Database Migration – Expertise in migrating databases such as BigQuery, Redshift, PostgreSQL, MySQL, and more. ✅ Data Warehouse Architecture – Designing efficient and scalable data warehouses tailored to business needs. ✅ ETL/ELT Development – Building ETL/ELT pipelines using Python Airbyte, DBT. ✅ Data Pipeline Architecture & Deployment – Implementing and automating workflows with Apache Airflow and Kubernetes. ✅ Application Containerization – Deploying and managing applications using Docker and Kubernetes. ✅ Data Visualization & Reporting – Creating interactive dashboards and reports with Looker Studio to drive business insights. Let’s discuss how I can help optimize your data infrastructure and unlock valuable insights for your business. Feel free to reach out!

I am an AWS-certified professional with over 5 years of experience specializing in backend development, DevOps engineering, and Kubernetes orchestration. My expertise lies in building scalable, secure, and efficient cloud infrastructures while integrating advanced AI/ML solutions to enhance business outcomes. ☞ Backend Development: Proficient in Node.js, Python, and PHP with hands-on experience in building serverless and containerized applications using frameworks like Serverless Framework, SAM, and SST. ☞ DevOps Expertise: Skilled in designing CI/CD pipelines, implementing Infrastructure as Code (Terraform, CloudFormation), and automating deployment workflows for high-traffic applications. ☞ Kubernetes Specialist: Extensive experience in deploying, managing, and scaling containerized applications on Kubernetes platforms like AWS EKS, GCP GKE, and Azure AKS. ☞ Security & Compliance: Strong knowledge of securing infrastructure and achieving compliance with frameworks like HIPAA, PCI-DSS, GDPR, and ISO standards. ☞ AI/ML Integration: Experience in integrating AWS AI/ML services such as Textract, Comprehend, Kendra, and Rekognition into applications for intelligent automation. Certifications: AWS Certified Solutions Architect – Associate AWS Certified Practitioner Toolkit: AWS, Terraform, Docker, Kubernetes, Jenkins, GitLab CI/CD, Python, Node.js, PHP, MySQL, PostgreSQL ..... Monitoring Tools: Prometheus, Grafana, New Relic

✅ 𝙏𝙊𝙋 𝙍𝙖𝙩𝙚𝙙 𝘿𝙚𝙫𝙊𝙥𝙨 𝙀𝙣𝙜𝙞𝙣𝙚𝙚𝙧 | ✅ 𝟱-𝙎𝙩𝙖𝙧 𝙍𝙚𝙫𝙞𝙚𝙬𝙨 | ✅ 𝟳+ 𝙔𝙚𝙖𝙧𝙨 𝙤𝙛 𝙀𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 I’m a passionate AWS DevOps & AI-Powered Data Engineer with hands-on experience architecting, automating, and optimizing mission-critical cloud solutions. I specialize in serverless AI integration using AWS Bedrock and designing intelligent workflows that scale. 𝙄 𝙝𝙖𝙫𝙚 𝙚𝙭𝙥𝙚𝙧𝙞𝙚𝙣𝙘𝙚 𝙞𝙣 𝙩𝙝𝙚 𝙛𝙤𝙡𝙡𝙤𝙬𝙞𝙣𝙜 𝙖𝙧𝙚𝙖𝙨, 𝙩𝙤𝙤𝙡𝙨 𝙖𝙣𝙙 𝙩𝙚𝙘𝙝𝙣𝙤𝙡𝙤𝙜𝙞𝙚𝙨: 🧠 𝘼𝙄 & 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙬𝙞𝙩𝙝 𝘼𝙒𝙎 𝘽𝙚𝙙𝙧𝙤𝙘𝙠 ► Integrated LLMs (Claude, Mistral, Titan) into serverless applications using AWS Bedrock + Lambda + Step Functions ► Designed prompt orchestration pipelines for data enrichment, customer support, and automated insights ► Built secure, scalable AI workflows for multi-tenant environments ☁️ 𝘾𝙇𝙊𝙐𝘿 𝙄𝙉𝙁𝙍𝘼𝙎𝙏𝙍𝙐𝘾𝙏𝙐𝙍𝙀 ► AWS: EC2, S3, RDS, ECS, EKS, ECR, Lambda, IAM, VPC, Route53, CloudTrail, KMS, CloudWatch, Redshift, DynamoDB, Glue, Athena, Step Functions, Bedrock ► Azure: Data Factory, Blob Storage, Cosmos DB, Azure DevOps 🗄️ 𝘿𝘼𝙏𝘼𝘽𝘼𝙎𝙀𝙎 ► SQL | NoSQL | MySQL | PostgreSQL | SQL Server | MongoDB | Redis | DynamoDB | ElasticCache 🚀 𝘾𝙄/𝘾𝘿 & 𝘼𝙐𝙏𝙊𝙈𝘼𝙏𝙄𝙊𝙉 ► Jenkins | AWS CodePipeline, CodeBuild, CodeDeploy | GitHub Actions | Terraform | CloudFormation 🔐 𝙄𝘿𝙀𝙉𝙏𝙄𝙏𝙔 & 𝙎𝙀𝘾𝙐𝙍𝙄𝙏𝙔 ► AWS IAM Identity Center (SSO) | AWS Cognito | Okta | AWS WAF | Network Firewall 🧩 𝘽𝙄𝙂 𝘿𝘼𝙏𝘼 & 𝘿𝘼𝙏𝘼 𝙀𝙉𝙂𝙄𝙉𝙀𝙀𝙍𝙄𝙉𝙂 ► Apache Spark | Hadoop | EMR | Kinesis | Data Lakes | Glue ETL | Airflow | Athena 📊 𝘽𝙄 & 𝙈𝙊𝙉𝙄𝙏𝙊𝙍𝙄𝙉𝙂 ► Power BI | Tableau | Superset | Grafana | SSMS 🛠️ 𝙏𝙊𝙊𝙇𝙎 & 𝙇𝘼𝙉𝙂𝙐𝘼𝙂𝙀𝙎 ► Python | Docker | Kubernetes | Bash | Ansible | REST APIs | JSON | YAML 🧪 𝙎𝙤𝙢𝙚 𝙤𝙛 𝙢𝙮 𝙢𝙖𝙟𝙤𝙧 𝙥𝙧𝙤𝙟𝙚𝙘𝙩𝙨 𝙞𝙣𝙘𝙡𝙪𝙙𝙚𝙙 ► Built AI-powered data enrichment workflows using AWS Bedrock + Lambda. ► Designed, implemented the entire software deployment system, system security and data assurance of company on both Cloud and Premise. ► Architected fully automated CI/CD pipelines for containerize applications. ► Administered infrastructure and back-end developer for a VPN system with 300+ servers. ► Designed, implemented and operated a Data Platform to centralize all company data ► Designed scalable Data Lake solutions with EMR + Glue + Athena ► Implemented centralized identity access via AWS SSO (IAM Identity Center) ► Automated AWS Route53, DNS, and Glue deployment for 50+ microservices 💬 𝙄 𝙗𝙧𝙞𝙣𝙜 𝙣𝙤𝙩 𝙟𝙪𝙨𝙩 𝙩𝙚𝙘𝙝𝙣𝙞𝙘𝙖𝙡 𝙨𝙠𝙞𝙡𝙡𝙨 𝙗𝙪𝙩 𝙖 𝙘𝙤𝙢𝙢𝙞𝙩𝙢𝙚𝙣𝙩 𝙩𝙤 𝙥𝙧𝙚𝙘𝙞𝙨𝙞𝙤𝙣, 𝙧𝙚𝙨𝙥𝙤𝙣𝙨𝙞𝙫𝙚𝙣𝙚𝙨𝙨, 𝙖𝙣𝙙 𝙘𝙡𝙖𝙧𝙞𝙩𝙮. Whether you're looking to launch a new AI feature, optimize your DevOps pipelines, or need a reliable Linux system engineer to manage your infrastructure—I’m ready to help. 𝙇𝙚𝙩’𝙨 𝙢𝙖𝙠𝙚 𝙮𝙤𝙪𝙧 𝙞𝙣𝙛𝙧𝙖𝙨𝙩𝙧𝙪𝙘𝙩𝙪𝙧𝙚 𝙨𝙢𝙖𝙧𝙩𝙚𝙧, 𝙛𝙖𝙨𝙩𝙚𝙧, 𝙖𝙣𝙙 𝙛𝙪𝙩𝙪𝙧𝙚-𝙧𝙚𝙖𝙙𝙮. Available for long-term or short-term contracts!

I am a Certified DevOps + Cloud Engineering specialist & AI Fullstack Developer worked extensively as a Cloud Architect, Infrastructure Engineer, Data Engineer, Site Reliability Engineer (SRE), Platform Engineer, Solution Architect, AI Developer, and System Administration Expert for the last 11+ years. 🏅 AWS Certified DevOps Engineer – Professional 🏅 Google Professional Cloud Architect 🏅 Microsoft Certified Azure DevOps Engineer Expert 🏅 Certified Kubernetes Administrator (CKA) 🏅 Docker Certified Associate 📌 Worked as a Sr. Cloud Engineer at American enterprise software company "Solarwinds" used by nearly all Fortune 500 companies 📌 Worked as a DevOps & Cloud Infrastructure Engineer at "Strava" a global fitness platform used by 180+ million athletes across 185+ countries, generating 50+ million activity uploads per week. 📌 Scaled an AI driven Edtech Platform for a Startup "Coursology" to 1M+ users. 💪 Core DevOps & Cloud Engineering Expertise: 🚀 Full-stack Development React, Next.js, Angular.js, Vue, Python, Node.js, PHP/Laravel 🚀 Amazon Web Services (AWS) EC2, ECS, EKS, Lambda, S3, CloudFront, Glacier, RDS, Aurora, DynamoDB, VPC networking, IAM security, CloudWatch monitoring, Route53 DNS, Auto Scaling, ALB/NLB load balancing. 🚀 Google Cloud Platform (GCP) Compute Engine, Cloud Run, GKE, Cloud Functions, Vertex AI infrastructure, Pub/Sub, Cloud Storage, VPC networking, IAM security, Cloud Monitoring & Logging. 🚀 Microsoft Azure Azure VMs, AKS, Azure DevOps, Azure Functions, Azure Storage, Virtual Networks, Azure Monitor, Azure AD, infrastructure deployment using ARM templates and Terraform. 🚀 Infrastructure as Code (IaC) Terraform, CloudFormation, ARM Templates, Pulumi. 🚀 Automation & Configuration Management Ansible, Bash scripting, Python automation. 🚀 CI/CD Pipelines GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, Bitbucket Pipelines. 🚀 Containers & Kubernetes Docker containerization, Kubernetes cluster architecture, Helm deployments, autoscaling workloads, service mesh architecture, microservices orchestration, and container security. 🚀 Monitoring, Logging & Observability Prometheus, Grafana, ELK Stack, Datadog, AWS CloudWatch, GCP Monitoring, Azure Monitor. 🚀 Security & Infrastructure Hardening IAM policy design, VPC network isolation, secrets management, DevSecOps integration, container security scanning, vulnerability management, and SOC2-aligned infrastructure. 🚀 Performance & Cost Optimization Cloud cost optimization, autoscaling infrastructure, high availability architectures, CDN and edge optimization, load balancing strategies, and performance bottleneck analysis. 🚀 MLOps ML pipeline automation, AI model deployment, distributed training infrastructure, experiment tracking, and data pipeline management. 🤝 Typical Projects I Deliver ✔ Cloud Infrastructure Design & Deployment ✔ AWS / GCP / Azure Cloud Migrations ✔ Kubernetes Cluster Setup ✔ DevOps Automation & CI/CD Pipelines ✔ Infrastructure Security Hardening ✔ Observability & Monitoring Systems ✔ High-Availability Production Environments ✔ AI Infrastructure & Data Pipelines I also work extensively with modern AI and real-time infrastructure, including: 🌟AI platform infrastructure 🌟Real-time voice systems 🌟API-driven microservices 🌟high-throughput event systems 🌟scalable AI data pipelines 🌟infrastructure for LLM and AI agent systems I can support both project-based engagements and long-term DevOps partnerships. Availability: 20-40 hours a week / Available on weekends as well if needed Let's Connect!

Cloud Platforms: AWS, GCP and Azure. Services: EKS, GKE, ECS, ALB, ELB, WAF, DNS, CI/CD, Configuration Management, Automation and Scripting, Version Control System, Infrastructure as Code, Containerisation and Orchestration, Monitoring and Logging, Infrastructure Security. Experienced in: Kubernetes, Dockers, Linux, Windows, Nginx, apache, tomcat, IIS, Git, GitHub, Gitlab CI, Jenkins, ArgoCD, ELK, Splunk, Prometheus, Grafana, Zabbix, Clear understanding of Protocols: HTTP(S), SSL/TLS, SSH, DNS, S(FTP)

Working on reducing the running costs for scaling systems while improving the performance! I run production Kubernetes on AWS EKS. I also work across Azure and GCP. 𝗠𝘆 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝘀𝗵𝗶𝗽 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 in under five minutes with no static cloud keys anywhere in CI, because they authenticate through OIDC instead. 𝗠𝗼𝘀𝘁 𝘁𝗲𝗮𝗺𝘀 𝗰𝗮𝗹𝗹 𝗺𝗲 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝘀𝗲𝘁𝘂𝗽: deployments work, but they're held together with tape. Release steps run by hand, AWS keys sitting in CI where they shouldn't be, no alerting when something breaks, one database that takes the whole platform down with it. I clean that up and hand back something your team can run without me. 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: 1- 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀 𝗼𝗻 𝗔𝗪𝗦 𝗘𝗞𝗦, including ingress-nginx, cert-manager, external-secrets, autoscaling, and rolling deploys with no downtime 2- 𝗚𝗶𝘁𝗟𝗮𝗯 𝗮𝗻𝗱 𝗚𝗶𝘁𝗛𝘂𝗯 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 that swap repo identity for short-lived AWS credentials through OIDC, so no long-lived keys live in CI 3- 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 for changes you can review and repeat, with encrypted state 4- 𝗖𝗼𝘀𝘁 𝗮𝗻𝗱 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝘄𝗼𝗿𝗸: right-sizing, scale-to-zero build nodes, and monitoring through Prometheus, Grafana, CloudWatch, and Fluent Bit 5- 𝗖𝗹𝗼𝘂𝗱 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆: private networking, least-privilege IAM, KMS encryption, SOC 2 and HIPAA-aligned hardening 𝗦𝗼𝗺𝗲 𝗿𝗲𝘀𝘂𝗹𝘁𝘀: - 𝗖𝘂𝘁 𝗰𝗹𝗼𝘂𝗱 𝘀𝗽𝗲𝗻𝗱 𝟲𝟮%, around $2,000 a month, on a live video platform while holding 99.9% uptime - 𝗥𝗮𝗻 𝗮 𝘀𝗲𝗹𝗳-𝗺𝗮𝗻𝗮𝗴𝗲𝗱 𝗚𝗶𝘁𝗟𝗮𝗯 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗼𝗻 𝗮 𝟭𝟬-𝗻𝗼𝗱𝗲 𝗘𝗞𝗦 𝗰𝗹𝘂𝘀𝘁𝗲𝗿: 238 pods across 35 namespaces, upgraded in place 10 times with no data loss - Pulled every static AWS key out of CI across several platforms using OIDC - 𝗥𝗲𝗯𝘂𝗶𝗹𝘁 𝗮 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 from public-by-default Cloud Run into a private, least-privilege GCP setup with SOC 2 readiness and 𝗛𝗜𝗣𝗔𝗔-𝗮𝗹𝗶𝗴𝗻𝗲𝗱 controls - Shipped multi-tenant streaming and 𝗲𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝗿𝘂𝗻𝗻𝗶𝗻𝗴 𝘂𝗽 𝘁𝗼 𝘁𝗲𝗻 𝗺𝗶𝗰𝗿𝗼𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀, each with its own environment separation through Kustomize 𝗛𝗼𝘄 𝗜 𝘄𝗼𝗿𝗸: I care what happens after I leave. Health-checked pipelines, production gates where they earn their place, real rollout checks instead of crossed fingers, and docs your team can actually follow. If something is over-built for where you are, I'll say so. 𝗜𝗳 𝗮 𝘀𝗵𝗼𝗿𝘁𝗰𝘂𝘁 𝗶𝘀 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗰𝗼𝘀𝘁 𝘆𝗼𝘂 𝗶𝗻 𝘀𝗶𝘅 𝗺𝗼𝗻𝘁𝗵𝘀, 𝗜'𝗹𝗹 𝘀𝗮𝘆 𝘁𝗵𝗮𝘁 𝘁𝗼𝗼. If your delivery is manual and fragile and you want it secure and repeatable, send me what you've got running now and what keeps breaking. 𝗜'𝗹𝗹 𝘁𝗲𝗹𝗹 𝘆𝗼𝘂 𝘀𝘁𝗿𝗮𝗶𝗴𝗵𝘁 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝗜'𝗺 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝗳𝗶𝘁. 𝗦𝘁𝗮𝗰𝗸: AWS (EKS, ECR, RDS, IAM, Secrets Manager, CloudWatch, Lambda, S3, EC2, Route 53, CloudFront), Azure, GCP (Cloud Run, Cloud SQL, Cloud KMS, Shared VPC), Kubernetes, Docker, Terraform, GitLab CI/CD, GitHub Actions, Ansible, Helm, Kustomize, Prometheus, Grafana, Cloudflare, NGINX, Linux, Bash, Python

With 13 years of hands-on experience building and operating high-scale web and mobile applications, I bridge the gap between development and operations to deliver end-to-end solutions that are robust, secure, and maintainable. 👁 What I Bring to Your Project: 💻 Full-Stack Development: Expertise in Node.js frameworks (Fastify, NestJS), TypeScript, modern front-end stacks, plus Android & iOS mobile development. ☁️ Cloud Architecture & Automation: Deep knowledge across AWS, GCP, Azure & DigitalOcean—designing resilient, cost-optimized infrastructures with Terraform, CloudFormation, and GitOps. 📦 Containerization & Orchestration: Docker, Kubernetes (EKS, GKE, AKS), Helm charts—automating deployments, scaling workloads, and implementing zero-downtime rollouts. 🛠️ CI/CD & DevOps Tooling: Jenkins, GitHub Actions, GitLab CI/CD—crafting pipelines for automated testing, security scans, and continuous delivery. 🔋 Databases & Storage: MySQL, PostgreSQL, Redis—schema design, replication, backup strategies, and performance tuning. Key Highlights Architected and migrated multiple monoliths to microservices on Kubernetes, reducing deployment time by 80%. Automated infrastructure provisioning and drift remediation using Terraform, saving weeks of manual ops for global teams. Implemented end-to-end CI/CD workflows with best-practice security checks (IaC linting, container scans, unit & integration tests). Developed mobile companion apps on Android and iOS, integrating real-time features and offline sync capabilities. Why Work With Me? Proven Track Record: 13+ years delivering production-grade solutions for startups and enterprises. Full-Lifecycle Ownership: From requirements gathering and architecture through coding, deployment, and 24/7 support. Clear Communication: Regular status updates, transparent documentation, and hands-on collaboration—no surprises. Quality & Security Focus: I embed best practices for testing, monitoring, and vulnerability management into every project.

Most AI and cloud projects do not fail because the idea is bad. They fail because the app works in a demo but breaks in production. The deployment is fragile. The cloud setup is confusing. The AI output is unreliable. Logs are missing. Nobody knows whether the issue is in the frontend, backend, infrastructure, or model layer. That is where I help. I build and fix production systems across AI, cloud infrastructure, and full-stack applications. I have worked on React frontends, Python and Node.js backends, AWS/GCP/Azure infrastructure, Kubernetes clusters, CI/CD pipelines, and LLM-powered workflows using tools like Claude, OpenAI, and AWS Bedrock. I am especially useful when a team needs someone who can look across the whole system instead of only one layer. I can help you: * Build AI workflows that use structured outputs, APIs, human review, and production safety checks * Integrate Claude, OpenAI, AWS Bedrock, or other LLM tools into real applications * Build or improve full-stack apps with React, Node.js, Python, REST APIs, and cloud services * Fix broken AWS deployments, ECS/EKS issues, IAM problems, networking, and CI/CD failures * Stabilize Kubernetes environments across EKS, GKE, and AKS * Set up Terraform or Pulumi infrastructure that your team can actually maintain * Improve monitoring with CloudWatch, Prometheus, Grafana, Loki, New Relic, or similar tools * Reduce cloud complexity and make systems easier to operate Recent work includes building an AWS Bedrock-powered security triage workflow, creating LLM-driven data enrichment workflows, deploying Kubernetes clusters across AWS/GCP/Azure, writing cloud automation with Pulumi and Terraform, and improving release reliability for production systems. My approach is simple: understand what is really happening, fix the root cause, avoid unnecessary complexity, and leave the system better documented than I found it. If your project involves AI, cloud infrastructure, or a full-stack application that needs to work reliably in production, I can help.

Hello, I’m Noor Ul Mobin, a DevOps Engineer with over 3 years of experience in building secure, scalable, and automated infrastructure for modern applications. I specialize in CI/CD pipeline implementation, Docker containerization, cloud infrastructure management, and deployment automation to ensure reliable and efficient production environments. I work with AWS, Google Cloud, and Azure to design high-availability systems that support fast, smooth, and secure releases. Let’s build a robust and scalable infrastructure for your business.