I help SaaS teams and product companies ship stable, high-quality web and mobile applications by combining QA engineering with release reliability practices. My focus is simple: catch critical issues early, reduce production bugs, and ensure every release is stable, predictable, and user-ready. With 7+ years of experience in QA engineering and working alongside DevOps teams, I’ve helped businesses across healthcare, insurance, and automotive improve their software quality and reduce costly production issues. Most teams I work with struggle with: • Bugs reaching production • Unstable releases • Poor regression coverage • Slow or manual testing cycles • Lack of visibility before deployment • Deployment-related failures affecting users I help fix this by strengthening the testing and release validation process. QA Engineering Services: • Manual functional & regression testing • End-to-end testing for web and mobile apps • Exploratory testing to uncover hidden issues • API testing using Postman • Cross-browser & cross-device testing • Release validation before production • Clear bug reporting with reproduction steps DevOps & Release Support: • CI/CD workflow understanding and validation • Deployment verification across dev/staging/production • Docker-based environment testing • AWS-based system awareness • Collaboration with DevOps teams for stable releases Tools & Technologies Postman, Jira, TestRail, Selenium, GitHub Actions, Jenkins, GitLab CI, Docker, AWS (basic), Azure DevOps, CloudWatch, Grafana How I Work I don’t just test features; I think in terms of release risk. That means: • identifying issues before users do • validating deployments before production • improving test coverage where it matters most • ensuring releases are stable and predictable Clients typically work with me when they need someone who understands both QA and the release process, not just surface-level testing. If you're looking to improve software quality, reduce production issues, or strengthen your release pipeline, feel free to reach out.

🌐 𝐀𝐖𝐒 & 𝐀𝐳𝐮𝐫𝐞 𝐂𝐥𝐨𝐮𝐝 𝐄𝐱𝐩𝐞𝐫𝐭 | 𝐃𝐞𝐯𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐒𝐞𝐫𝐯𝐞𝐫 𝐀𝐝𝐦𝐢𝐧 | 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 | 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 With a comprehensive background in cloud engineering, DevOps, server administration, and cloud security, I bring deep, hands-on expertise in managing cloud environments, automating infrastructure, and ensuring reliable performance across multi-provider platforms. I help businesses navigate and optimize their digital infrastructure with scalable, secure, and cost-effective cloud solutions. 🔧 𝐂𝐨𝐫𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬: ✅ 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 - Amazon Web Services (AWS): EC2, S3, VPC, RDS, IAM, CloudWatch, Lambda, Route 53, CloudFront - Microsoft Azure: Virtual Machines, Storage, Virtual Network, Azure AD, Azure Monitor, Bicep - Google Cloud Server: Basic deployment & integration experience ✅ 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐈/𝐂𝐃 - CI/CD pipelines: GitHub Actions, AWS CodePipeline, Azure DevOps - Containerization & orchestration: Docker, Docker Compose - Infrastructure as Code (IaC): Terraform, CloudFormation, ARM Templates - Version control & Git workflows ✅ 𝐒𝐞𝐫𝐯𝐞𝐫 𝐀𝐝𝐦𝐢𝐧𝐢𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 & 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 🖥️ - Windows & Linux Server setup, hardening, optimization, backups, DNS, FTP, and more - Web server stack: Apache, NGINX, HAProxy, cPanel, Plesk ✅ 𝐂𝐥𝐨𝐮𝐝 & 𝐃𝐨𝐦𝐚𝐢𝐧 𝐏𝐫𝐨𝐯𝐢𝐝𝐞𝐫𝐬 🌍 - GoDaddy, NameCheap: Domain setup, DNS management, SSL, custom emails - Cloudflare: DNS, CDN, SSL, Zero Trust setup, tunnels, WAF - LINODE & QuickWeb: VPS provisioning, backups, server scaling - Heroku: App deployment, PostgreSQL integration, auto-scaling ✅ 𝐂𝐥𝐨𝐮𝐝 𝐌𝐢𝐠𝐫𝐚𝐭𝐢𝐨𝐧 🛫 - End-to-end cloud migration from on-prem or third-party servers to AWS/Azure - Lift-and-shift, re-platforming, database migration with minimal downtime ✅ 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 𝐚𝐬 𝐂𝐨𝐝𝐞 (𝐈𝐚𝐂) ⚙️ - Terraform, AWS CloudFormation, ARM templates - Scripts in Python, Bash, PowerShell for provisioning and automation ✅ 𝐃𝐞𝐯𝐎𝐩𝐬 & 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 🚀 - GitHub Actions, AWS CodePipeline, Azure DevOps - Docker containers, Git, GitHub, version control & CI workflows ✅ 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 🔐 IAM, MFA, KMS, firewalls, NACLs, security groups, SSL/TLS encryption Network segmentation, monitoring, logging, and alerts ✅ 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧 📊 - AWS Cost Explorer, Azure Cost Management - CloudWatch, Azure Monitor, Log Analytics ✅ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 & 𝐁𝐚𝐜𝐤𝐮𝐩 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 🛢️ - RDS, Aurora, DynamoDB, Azure SQL, PostgreSQL, MySQL, backup automation - DMS, SCT for data migration and schema conversion ✅ 𝐄𝐦𝐚𝐢𝐥 & 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬 📬 AWS SES, SNS, SMTP integration, domain-based email configuration ✅ 𝐂𝐥𝐨𝐮𝐝 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 & 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐃𝐞𝐬𝐢𝐠𝐧 📐 Lucidchart, Draw.io, Visio for diagrams and technical documentation 💼 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨 𝐟𝐨𝐫 𝐌𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬: - Deploy and manage multi-cloud environments with automation - Build CI/CD pipelines for seamless software delivery - Migrate workloads and databases to AWS/Azure with zero downtime - Implement security best practices and cost optimization strategies - Design scalable and high-performance cloud architectures - Provide ongoing cloud monitoring, alerts, and reporting 𝐖𝐡𝐲 𝐂𝐡𝐨𝐨𝐬𝐞 𝐌𝐞: I combine cloud expertise, DevOps automation, and strong security practices to deliver end-to-end solutions. I bring practical, hands-on experience across AWS, Azure, and multi-cloud environments, ensuring resilient, secure, and optimized infrastructures for your business.

Seasoned Full-Stack Developer and AWS DevOps professional with a proven track record of building exceptional digital experiences. I specialize in helping businesses solve complex challenges by developing high-quality, scalable, and efficient web applications. Are you looking for a developer who can: -Build modern, responsive, and user-friendly front-end interfaces with React, Next.js, and TypeScript? - Develop robust and scalable back-end systems using Node.js, Python, and Django? - Optimize your application's performance and reliability with AWS, Docker, and Kubernetes? - Implement efficient CI/CD pipelines to streamline your development process? With over 5 years of experience, I have a deep understanding of the entire development lifecycle, from initial concept to deployment and beyond. I am passionate about writing clean, maintainable code and delivering solutions that exceed my clients' expectations. My Core Competencies: - Front-End: React, Next.js, Redux, TypeScript, JavaScript, HTML5, CSS3 - Back-End: Node.js, Express.js, Python, Django, RESTful APIs - Databases: MongoDB, PostgreSQL, MySQL, Redis - DevOps & Cloud: AWS (EC2, S3, Lambda, etc.), Docker, Kubernetes, Jenkins, Git Let's build something amazing together! Feel free to send me a message to discuss your project in more detail. I'm always excited to take on new challenges and help my clients succeed.

Are you looking to leverage Generative AI to create new revenue streams or dramatically improve operational efficiency? I specialize in transforming ambitious AI concepts into secure, scalable, and profitable enterprise-grade products on the cloud. For over a decade, I've partnered with U.S. startups and tech leaders to architect and deploy data-intensive platforms that serve millions of users and generate significant financial returns. My Proven Impact: The 'fruGPT' Case Study As the lead engineer for 'fruGPT', I orchestrated the entire lifecycle of a multi-tenant Generative AI SaaS platform. • The Result: We secured $250,000 in Annual Recurring Revenue (ARR) within the first six months. • The Technology: I designed a state-of-the-art RAG pipeline, incorporated Agentic AI solutions for complex tasks, and built robust security guardrails and an observability stack that slashed bug detection time by 90%. • The Scale: This was built on a core infrastructure I also scaled to serve 3.8 million monthly users with p95 latency under 110ms. My Expertise Toolbox: • AI & ML: OpenAI GPT-4o, Agentic AI (crewAI, Mastra), RAG Pipelines, LLMOps, Vector Databases (Pinecone, PGVector), Prompt Engineering • Cloud & DevOps: AWS (Serverless, ECS, EKS), Google Cloud, IaC (Terraform, CDK), CI/CD (GitHub Actions), FinOps & Cost Optimization (-27% avg. reduction) • Software & Data: Python, TypeScript, Next.js, Node.js, Postgres/NeonDB, Redis, Kinesis Ready to discuss your product roadmap or tackle a complex engineering challenge? Click the 'Invite' button to start a conversation.

I help companies build scalable, reliable, secure, and cost-efficient cloud infrastructure — from startup to high-traffic platforms. With 14+ years of industry experience, including roles at Accenture, SQLi and Snaptec, I worked Platform/Cloud/DevOps and Linux Systems Engineer helping businesses modernize infrastructure, automate operations, improve reliability, and accelerate deployments. What I can help you with: ✅ Cloud architecture and infrastructure modernization ✅ Kubernetes and container platform deployments ✅ CI/CD pipeline design and infrastructure as Code ✅ Performance and cost optimization ✅ Monitoring, logging, and observability ✅ Platform migrations and zero-downtime deployments ✅ DevOps automation and operational efficiency Client feedback: ⭐ “When people have quality you notice it from the first second. This guy is amazing — he solved in 5 minutes what other people couldn’t solve for weeks.” ⭐ “Misbah turned a very slow Magento installation into a blazing fast webstore experience! Reacts quickly and is very knowledgeable.” ⭐ “Misbah does great work and is one of the few Upworkers I trust implicitly.” Core Technologies & Tools ☁️ Cloud Platforms AWS, GCP, DigitalOcean, Hetzner, OVH, Scaleway, Platform.sh ⚙️ Infrastructure & Automation Terraform, Ansible, Python, Bash 🚀 CI/CD & DevOps GitHub Actions, AWS CodePipeline, Jenkins, Bamboo, Drone CI 🐳 Containers & Serverless Docker, ECS, Kubernetes, EKS, AWS Lambda, API Gateway, AppSync 📊 Monitoring & Observability Grafana, Alloy, Mimir, Prometheus, Loki, CloudWatch, New Relic 📝 Logging & Metrics Loki, Fluentd, CloudWatch Logs 🌐 Networking & Security Cloudflare, Fastly, CloudFront, WireGuard, OpenVPN 🖥 Operating Systems Linux (Ubuntu, Debian, CentOS, RHEL, and more) What sets me apart: • Strong troubleshooting and root-cause analysis skills • Focus on reliability, scalability, and maintainability • Fast turnaround and clear communication • Real-world production experience across multiple industries • Ability to bridge development and operations effectively If you’re looking for someone who can improve reliability, automate infrastructure, optimize cloud costs, or solve complex production issues — let’s talk.

Software architect with over 8 years of experience specializing in cloud-based backend solutions, microservices, and scalable APIs. I design and implement architectures that meet high-performance demands, optimize user experience, and enable seamless integration across systems. Cloud-Native and Microservices Architectures: Skilled in breaking down monolithic applications into microservices using .NET, Azure, Kubernetes, Docker, and gRPC, supporting millions of active users and high transaction volumes. Experienced with CI/CD pipelines in Azure DevOps, containerization with Docker, and Google Cloud services (StateStore, Cloud Storage, Pub/Sub) for reliable scalability and resilience. Enterprise Integration and Real-Time Data: Proficient in integrating complex systems using Kafka, RabbitMQ, and Redis Pub/Sub for messaging, and managing data with PostgreSQL, MongoDB, Oracle, and Redis. My solutions are built for real-time processing and optimized for high availability. Secure, High-Performing APIs: I develop APIs focused on security and performance, implementing authentication and authorization with Identity Server, Auth0, Firebase, Azure Entra External ID along with observability, health checks, and error resilience. My APIs are thoroughly documented for easy integration and long-term maintainability. Legacy Modernization and Frontend Expertise: I bring legacy systems into modern architectures, leveraging .NET Core and Angular to create efficient, maintainable applications. Additionally, I have experience building responsive interfaces with Angular, React, and Flutter. Agile and DevOps Advocate: I work in agile teams, prioritize clean code and best practices, and ensure continuous improvement through structured CI/CD, monitoring, and automated testing. Passionate about delivering high-quality, cloud-based solutions that drive business value and user satisfaction. Azure Services: DevOps, App Service Plan, App Service, Functions, Container Apps, Monitor, Application Insights, Key Vault, VNET, SubNET, NSG, Private Endpoints, Storage, SQL Server, Redis, Entra ID, AD, VMs, Container Registry, Kubernetes, APIM, Logic Apps, WebJobs, Service Bus, Cosmos DB, Development: .NET (3–9) - Framework and VB, C#, Angular, React, Minimal API, Vertical Slice Architecture.

🚀 I help businesses align their cloud infrastructure with business goals — optimizing cost, performance, and reliability across AWS. As an AWS-certified solutions Architect (4x AWS Certified) with over 5 years of experience, I work with clients to translate strategic objectives into robust, scalable cloud architectures. My role often involves collaborating with Pre-Sales and technical teams as a Subject Matter Expert (SME), helping clients understand the cloud’s potential to improve operational efficiency, reduce spending, and achieve compliance and reliability targets. 💼 Core Consulting Areas: - Infrastructure assessments and AWS cost optimization - Designing secure, scalable multi-tier architectures (EC2, S3, RDS, VPC) - Containerized solutions and microservices with ECS and EKS - Serverless designs using Lambda and EventBridge - Infrastructure as Code, CI/CD, and DevSecOps alignment 💡 Why Clients Choose Me: - 100+ Well-Architected Reviews across diverse industries - Deep experience aligning cloud design to measurable business outcomes - Trusted AWS SME for client-facing architecture and roadmap sessions - Hands-on clarity: from initial consultation to production-grade delivery 📌 Key Engagements: - Saved a fintech client 45% annually by rightsizing and redesigning their workloads - Advised a SaaS platform through AWS migration and compliance (HIPAA/GDPR) - Delivered executive-ready architectural proposals for 7-figure deals as Pre-Sales architect 📊 My Upwork Stats: - $10K+ in total earnings - 17 completed jobs - 248 total billed hours - 5.0⭐ average rating across all projects with consistent stellar client feedback

Python AI engineer with experience building production LLM agents and RAG systems along with specialist in DevOps. Real automation, not prototypes deployed, scaled, and reliable. ● Strong expertise in Generative AI, LLMs (OpenAI GPT-4/4.1/mini), and ML model development. ● Skilled in document processing, entity extraction, and business insights generation using AI/ML. ● Proficient in backend frameworks (Flask, FastAPI) and designing RESTful & GraphQL APIs. ● Experienced in containerization (Docker), cloud deployment (Azure), and CI/CD pipelines. ● Hands-on with data pipelines, model training, and evaluation across NLP, classification, and recommendation domains. ● Strong communication and problem-solving skills with proven ability to work independently and in teams. KEY RESPONSIBILITIES 1. System Architecture & Multi-Tenant Design ● Designed scalable, schema-based multi-tenant architectures using PostgreSQL and Django-Tenants to ensure data isolation, security, and operational flexibility across clients. ● Engineered modular backend systems supporting dynamic onboarding, tenant lifecycle management, and real-time user access control. 2. Backend Development & API Engineering ● Developed RESTful APIs using Django REST Framework and FastAPI for user management, role-based access control (RBAC), authentication, subscriptions, messaging, and payment handling. ● Integrated AI models (OpenAI GPT, Azure Cognitive Services) and third-party APIs for advanced chatbot functionalities and real-time voice-to-text conversion. 3. Database Engineering & Optimization ● Utilized PostgreSQL, MySQL, and MongoDB to design efficient, normalized schemas for transactional and analytics workloads. ● Automated database tasks such as schema creation, reconciliation logic, and background analytics processing with high reliability and accuracy. 4. DevOps, CI/CD & Deployment ● Containerized full-stack applications using Docker and deployed services on AWS (EC2, S3, Amplify), ensuring high availability and seamless scaling. ● Set up CI/CD pipelines for smooth integration, testing, and production releases with zero downtime using Git and custom deployment scripts. ● Employed Celery and Redis for distributed task scheduling and background job processing. 5. Security & Access Control ● Implemented secure authentication using JWT and AWS Cognito, integrated RBAC mechanisms, and enforced GDPR-compliant data practices. ● Managed API rate-limiting, schema-level access control, and secure webhook integrations for third-party services. 6. Collaboration & Documentation ● Worked closely with frontend teams and cross-functional stakeholders to translate business logic into robust technical implementations. ● Authored detailed technical documentation covering API usage, schema strategies, deployment processes, and scraper maintenance. 7. Feature Implementation & Enhancements ● Delivered production-grade features such as multilingual interfaces, admin dashboards, real-time chat/messaging, subscription management, predictive analytics, and trading alerts.

Hi there! As a DevOps Engineer with more than four years of experience, I have a proven track record of optimizing and automating infrastructure to drive efficiency and reliability. My expertise includes cloud solutions, CI/CD pipelines, and configuration management, making me a versatile and valuable addition to any team. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐭𝐡𝐞 𝐓𝐚𝐛𝐥𝐞: 𝐂𝐥𝐨𝐮𝐝 𝐌𝐚𝐬𝐭𝐞𝐫𝐲: Proficient in AWS, Google Cloud, and Azure. 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: Extensive experience with Docker, LXC and Kubernetes. 𝐂𝐈/𝐂𝐃 𝐆𝐮𝐫𝐮: Skilled in Jenkins, GitLab CI, Github Actions, and TeamCity. 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭: Expert in Terraform, Ansible and Pulumi. 𝐒𝐜𝐫𝐢𝐩𝐭 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: Strong in Bash, Python, Shell, and Go scripting. 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 & 𝐋𝐨𝐠𝐠𝐢𝐧𝐠: Knowledgeable in Prometheus, Grafana, and ELK Stack. 𝐕𝐞𝐫𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: Experienced with Git, GitHub, Bitbucket and Gitlab. 𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬: 𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐌𝐢𝐜𝐫𝐨𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞: Designed and deployed a microservices architecture on AWS with Kubernetes, Docker, and Terraform, leading to a 90% reduction in downtime. 𝐂𝐈/𝐂𝐃 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧: Developed a CI/CD pipeline for a client, enabling multiple daily deployments with zero downtime. 𝐂𝐨𝐬𝐭 𝐑𝐞𝐝𝐮𝐜𝐭𝐢𝐨𝐧: Helped organization reduced the cost of the cloud by implementing the suitable infrastructure with auto scaling as per application design and needs. 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐚𝐧𝐝 𝐂𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞: Implemented security best practices and compliance checks, ensuring robust system security.

🏆 Top Rated in Upwork 🏆 10+ years experience with DevOps & SRE 🤓 4x Microsoft Azure Certified 🤓 2x AWS Certified 🤓 1x NVIDIA Certified 🏆 100% Job Success Rate I have 14+ years of DevOps and SRE experience, with a focus on Cloud Infrastructure(AWS,Azure,GCP), automation, Docker/Kubernetes and CI/CD pipelines. T̲h̲i̲s̲ ̲i̲s̲ ̲m̲y̲ ̲P̲r̲o̲f̲e̲s̲s̲i̲o̲n̲a̲l̲ ̲C̲e̲r̲t̲i̲f̲i̲c̲a̲t̲i̲o̲n̲ ̲:̲ 🥇 NVIDIA Certified AI Infra and Ops Expert 🥇 𝑲𝒖𝒃𝒆𝒓𝒏𝒆𝒕𝒆𝒔 Administrator CKA 🥇 𝑨𝑾𝑺 Solution Architect 🥇 𝑨𝑾𝑺 SysOps Administrator 🥇 𝑨𝒛𝒖𝒓𝒆 Administrator 🥇 𝑨𝒛𝒖𝒓𝒆 Power BI Data Analyst 🥇 𝑨𝒛𝒖𝒓𝒆 Fundamentals 🥇 𝑨𝒛𝒖𝒓𝒆 Data Fundamental 🥇 𝑶𝒓𝒂𝒄𝒍𝒆 Generative AI Certified Professional 🥇 𝑮𝒐𝒐𝒈𝒍𝒆 Prompting Essentials Beyond traditional DevOps, I have managed and optimized big data and AI platforms at scale, applying AIOps practices to improve observability and automate incident resolution, and supporting MLOps workflows to enable model training, deployment, and monitoring in production environments. I have led multiple end-to-end DevOps transformations, from proof-of-concept to enterprise-wide adoption, while mentoring engineering teams and acting as a hands-on technical lead. With a strong ability to bridge business and technology, I ensure alignment between technical solutions and business outcomes, consistently improving uptime, scalability, and cost efficiency. This unique blend of DevOps, AIOps, and MLOps expertise allows me to deliver both enterprise-grade CI/CD and cloud automation as well as modern ML/LLM infrastructure. ⚙️ Key Skills Cloud & Virtualization: AWS, Azure, VMware vSphere, Docker, Kubernetes Infrastructure as Code: Terraform, Ansible, CloudFormation CI/CD & Automation: Jenkins, GitLab, GitHub Actions, Bitbucket Pipelines, Artifactory, Rundeck Monitoring & Observability: Prometheus, Grafana, Dynatrace, AIOps frameworks Logging & Analytics: ELK Stack (Elasticsearch, Logstash, Kibana) Programming & Scripting: Bash, Python, Go Databases: MySQL, Azure SQL Operating Systems: Linux (various distributions), Windows Server AI/ML Platforms: AIOps practices, MLOps pipelines, MLflow, DVC AI Infrastructure (emerging focus): GPU Operator, KubeRay, Ray Serve, vLLM, CodeFlare Pipelines 🎯 Areas of Expertise DevOps & SRE: CI/CD pipelines, Kubernetes clusters, Infrastructure as Code, cloud automation, and site reliability engineering. AIOps & MLOps: Big data & AI platform operations, intelligent monitoring, automated incident response, and ML lifecycle management. Cloud Platforms: 10+ years with AWS and Azure, including hybrid and multi-cloud strategies. AI Infra (Add-on Capability): Hands-on with GPU Operator, KubeRay, and LLM serving via Ray Serve + vLLM. Team Leadership: 6+ years managing and mentoring DevOps/SRE teams, driving adoption of modern tooling. Business & Strategy: OMMBA certified, skilled in aligning technical solutions with business goals.