Gurwinder Singh W.

DevOps | MLOps | AIOps Engineer | Cloud & AI Infrastructure Expert

𝗚𝘂𝗿𝘄𝗶𝗻𝗱𝗲𝗿 | 𝗗𝗲𝘃𝗢𝗽𝘀 | 𝗠𝗟𝗢𝗽𝘀 | 𝗔𝗜𝗢𝗽𝘀 | 𝗦𝘆𝘀𝘁𝗲𝗺 𝗔𝗱𝗺𝗶𝗻 | 𝗖𝗹𝗼𝘂𝗱 & 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁 Hello! I am 𝗚𝘂𝗿𝘄𝗶𝗻𝗱𝗲𝗿, a DevOps, MLOps, AIOps, and System Administration Engineer with 8+ years of experience building secure, scalable, and production-ready infrastructure for SaaS platforms, AI applications, cloud-native systems, and LLM-based products. From traditional server administration to modern AI infrastructure, I help businesses automate deployments, migrate applications from Replit to enterprise cloud platforms, scale applications, optimize cloud environments, and build reliable DevOps pipelines across AWS, Azure, and GCP. Whether you are launching a startup, deploying AI agents, managing Kubernetes clusters, building RAG-based applications, or simply need stable cloud infrastructure, I can help you deploy faster, automate smarter, and scale confidently. DevOps, Cloud & Infrastructure - AWS, Azure, GCP, DigitalOcean, Linode - Docker, Kubernetes (EKS, ECS, AKS, GKE) - Infrastructure as Code: Terraform, Ansible, CloudFormation - Serverless: AWS Lambda, Azure Functions, Google Cloud Functions - High-availability & autoscaling architectures - GPU infrastructure for AI/ML workloads - Linux & Windows server administration Replit, Cloud Migration & Platorm Modernization - Replit application deployment & infrastructure management - Migration from Replit to AWS, Azure, GCP, DigitalOcean & Kubernetes - Containerization using Docker for Replit-hosted applications - CI/CD implementation for Replit projects - Database migration & environment separation (Dev/Staging/Production) System Administration & Server Management - Ubuntu, CentOS, AlmaLinux, Debian, Windows Server - cPanel/WHM, Plesk, Webmin - Apache, Nginx, LiteSpeed, HAProxy - Email servers: Postfix, Exim, Dovecot - SPF, DKIM, DMARC configuration - SSL setup, backups, migrations & troubleshooting - Rsync, Rclone, cron jobs & automation CI/CD & Automation - Jenkins, GitHub Actions, GitLab CI/CD, Bitbucket Pipelines - Automated build, deployment & rollback pipelines - GitOps workflows using ArgoCD & Flux - Airflow, n8n, Zapier & workflow automation - Infrastructure automation using Python, Bash & YAML MLOps / LLMOps / AI Infrastructure - MLflow, Kubeflow, Vertex AI - AI model deployment with TensorFlow, PyTorch & SageMaker - LLMOps pipelines for production AI applications - OpenAI, Azure OpenAI & HuggingFace integrations - Vector databases: Pinecone, Weaviate, FAISS, Chroma - RAG pipelines & embedding systems - KServe, FastAPI & Docker-based model serving - AI agent orchestration using OpenClaw - Clawbot & Moltbot deployment workflows - Monitoring, retraining & model lifecycle management Monitoring, Security & AIOps - Prometheus, Grafana, ELK Stack, CloudWatch, Datadog - OpenTelemetry & Jaeger tracing - AI-driven monitoring & anomaly detection - Automated incident remediation - HashiCorp Vault, AWS KMS, Snyk, SonarQube - OWASP security best practices Databases & Storage - PostgreSQL, MySQL, MariaDB, AuroraDB - MongoDB, DynamoDB - Redis, Memcached - Vector databases for AI workloads I believe modern infrastructure is no longer just about servers, it is about intelligent automation, scalable AI systems, reliable deployments, and building environments that can grow with your business. If you are building AI platforms, SaaS systems, cloud infrastructure, ML pipelines, AI agents, or large-scale applications, I would be happy to help. Feel free to invite me to your project or schedule a quick call to discuss how I can help. Best regards, Gurwinder