Over the past six years, I've designed and maintained production Kubernetes clusters, automated CI/CD pipelines, and built cloud infrastructure that companies actually rely on. My work keeps applications running smoothly while dev teams ship faster. ## What I've actually done: - I've migrated legacy CI/CD systems to modern Kubernetes-native workflows, reducing deployment times and eliminating manual bottlenecks. - Built production EKS and AKS clusters from scratch using Terraform, complete with monitoring, security hardening, and disaster recovery. Designed and implemented GitOps workflows with ArgoCD that let teams deploy confidently without breaking production. - For one client, I rebuilt their entire data platform infrastructure—MinIO, Spark, Airflow, dbt, the works—all running on Kubernetes with full automation. - Another project had me maintaining Azure network infrastructure across multiple regions while supporting developer teams who just needed things to work. ## My availability: I'm based in Ho Chi Minh City and work during business hours that overlap well with US and European time zones. I'm a Certified Kubernetes Administrator and comfortable working with teams of any size, from startups to established companies. ## What I can help you with: - Setting up production-grade Kubernetes clusters (EKS, AKS) with proper security, monitoring, and backup - Building CI/CD pipelines that actually work—GitHub Actions, ArgoCD, Jenkins, Argo Workflows - Infrastructure as Code with Terraform—from VPCs to complete environments - Migrating legacy systems to cloud-native architectures - Troubleshooting deployment issues and fixing infrastructure problems - Setting up observability stacks (Prometheus, Grafana, OpenSearch) I respond quickly, explain technical concepts clearly, and don't disappear once a project starts. If you need someone who's dealt with production infrastructure in the real world and can get things done without drama, let's talk.

I am a highly motivated DevOps engineer with 5+ years of experience in the field. I specialize in cloud technologies, with extensive expertise in Azure for cloud infrastructure management. I have a solid background in setting up and managing build and release pipelines using Azure DevOps, GitHub Actions, and Jenkins. Additionally, I am proficient in Infrastructure as Code (IaC) using ARM templates and Terraform, ensuring scalable, efficient, and secure cloud environments. My experience extends to containerization techniques, including Docker, Docker Compose, and Kubernetes, along with cloud-based container orchestration platforms like Azure Kubernetes Service (AKS). I am committed to driving operational efficiency and delivering high-quality solutions in dynamic environments. ✔️ Cloud Platform: Azure ☁️ ✔️Containers: Docker & Docker compose 🫙 ✔️Container Orchestration: Kubernetes & AKS 🎷 ✔️Kubernetes Application: Helm Charts & Kustomize ⚓️ ✔️Continuous Integration/Deployment: Azure Devops, GitHub Actions, jenkins ⚒️ ✔️GitOps : ArgoCD 🚀 ✔️Infrastructure as a Code: Terraform, Template Arm🏗 ✔️ Programming and Scripting: powershell, Bash and Python3 👨‍💻 ✔️Logging, Monitoring & Alerting: Grafana, Prometheus, Alert Manager 🔍 ✔️VCS: Git, GitHub 🗃️

𝐈’𝐦 𝐚 𝐫𝐞𝐬𝐮𝐥𝐭𝐬-𝐝𝐫𝐢𝐯𝐞𝐧 𝐃𝐞𝐯𝐎𝐩𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐝𝐞𝐞𝐩 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐢𝐧 𝐀𝐖𝐒 𝐢𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞, 𝐃𝐨𝐜𝐤𝐞𝐫 𝐜𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫𝐢𝐳𝐚𝐭𝐢𝐨𝐧, 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧, 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞 𝐂𝐈/𝐂𝐃 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬. I specialize in streamlining deployment processes, improving scalability, and ensuring high availability across cloud-native environments. With years of experience supporting both startups and enterprise-level clients, I bring a hands-on, problem-solving approach to infrastructure challenges. Whether you're launching a new app, migrating to the cloud, or optimizing your DevOps workflows, I’m here to deliver secure, scalable, and cost-effective solutions. 𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨 𝐁𝐞𝐬𝐭: - Cloud Architecture (AWS): Design and manage scalable, secure, and cost-optimized cloud environments. - Infrastructure as Code (Terraform, CloudFormation): Automate resource provisioning and version control for complete transparency and repeatability. - Containerization (Docker, ECS, EKS, Kubernetes): Build, deploy, and manage containerized applications in highly available environments. - CI/CD Pipelines (GitHub Actions, GitLab CI, Jenkins): Automate your software delivery lifecycle for faster, more reliable releases. - Monitoring & Logging: Set up tools like CloudWatch, Prometheus, Grafana, and ELK Stack to keep your systems healthy and observable. - Security & Compliance: Implement best practices for IAM, VPC, encryption, and audit logging to keep your cloud infrastructure safe. - 𝐌𝐄𝐀𝐍/𝐌𝐄𝐑𝐍 𝐒𝐭𝐚𝐜𝐤 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: Full-stack JavaScript solutions using MongoDB, Express, Angular/React, and Node.js, integrated seamlessly with scalable cloud infrastructure. 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞: - I transform DevOps complexity into clarity. - I value clear communication, proactive problem-solving, and measurable results. - I deliver production-ready infrastructure that scales as your business grows. Let’s build a faster, more resilient infrastructure together. If you’re looking for someone who can own your DevOps setup from planning to production I’m ready to help.

👋 Hey there! Welcome to my corner of Upwork! I'm Vidhi Shah, and I specialize in streamlining DevOps processes to make software development more efficient. Over the years, I've honed my skills in orchestrating seamless development-to-production pipelines, ensuring everything runs like a well-oiled machine. 💡 Here's where I shine: 🛠️ Crafting Infrastructure with Code (IaC): With tools like Terraform, CloudFormation, I transform infrastructure into code, keen to build Legos but for the cloud! This includes setting up cloud resources such as RDS databases, EC2 instances, VPC, subnets, gateways, and Application Load Balancers (ALB). 🚀 Rocking Continuous Integration/Continuous Deployment (CI/CD): Whether it's Jenkins, ArgoCD, GitHub Actions, or AWS CodePipeline, DevOps Pipline .I set up pipelines that keep your software delivery smooth and reliable. I integrate IAM for secure access management and utilize Parameter Store and Secrets Manager for securely storing and managing sensitive information. 🐳 Container Magic with Docker and Kubernetes: I thrive on containerizing applications and orchestrating them with Kubernetes on AKS and EKS. Think of it as hosting a party for your apps, where they never get lost in the crowd! I also manage messaging systems like RabbitMQ, and utilize AWS services like SQS for reliable message queuing. 👀 Keeping an Eye on Things: Setting up monitoring and logging systems with tools like Prometheus, Grafana, or the ELK stack, integrated seamlessly with AWS CloudWatch and Azure Monitor. Because clear visibility into your systems is key to success! Additionally, I implement security measures using IAM and RBAC also manage secrets with Secrets Manager, and ensure compliance with industry standards. ✉️ Enhancing Communication: Leveraging AWS services like SES (Simple Email Service) for reliable email communication between your applications and users. 🔐 Ensuring Security and Compliance: Implementing robust security measures and ensuring compliance with industry standards and regulations on AWS. From IAM policies and security groups to encryption and auditing, I ensure your infrastructure is fortified against cyber threats and meets all necessary compliance requirements. Let's keep your data safe and your stakeholders reassured! Feel free to reach out, and let's collaborate to achieve your DevOps goals!

If your infrastructure is holding your team back — slow deployments, security gaps, compliance pressure, or runaway costs — I fix it end to end. I'm a Senior DevOps & SRE Engineer with 7+ years of hands-on experience building and operating production cloud infrastructure for SaaS, fintech, and healthtech companies. I don't just advise. I implement — Terraform, Kubernetes, CI/CD pipelines, security hardening, cost optimization — and I own the outcome. ───────────────────────────────────── 🏆 WHY CLIENTS CHOOSE ME ───────────────────────────────────── - Top Rated Plus — Top 1% on Upwork - 100% Job Success Score | $100K+ earned - 45+ completed contracts across SaaS, fintech, healthtech - Led SOC 2 compliance programmes end-to-end at two Toronto companies - Trusted by founders, CTOs, and engineering teams across North America ───────────────────────────────────── 🚀 WHAT I DO ───────────────────────────────────── Cloud Infrastructure & AWS Architecture Production-grade AWS environments built right the first time — VPCs, EKS, ECS, RDS, Lambda, API Gateway, CloudFront. High availability, fault tolerance, and security baked in from day one. I've designed and operated systems handling millions of requests for funded startups and scale-ups. Kubernetes & Container Platforms EKS cluster design, Helm, ArgoCD, GitOps workflows, RBAC, network policies, pod security, Falco for runtime security, and full observability. Real production Kubernetes — not tutorial-level work. CI/CD & DevOps Automation GitHub Actions, Jenkins, AWS CodePipeline — automated build, test, and deploy pipelines that reduce deployment risk and free your team to ship faster. Zero-downtime blue/green and canary deployments included. Infrastructure as Code Modular, reusable Terraform across multi-account AWS environments. CloudFormation, Pulumi, Ansible. Fully reproducible, auditable infrastructure that your team can actually maintain. Security & Compliance (SOC 2 / HIPAA) I've led SOC 2 Type 1 and HIPAA technical implementation at regulated companies — not just as a GRC consultant writing policies, but as the engineer who implemented the controls: IAM hardening, GuardDuty, Security Hub, CloudTrail, KMS encryption, Vanta/Drata setup, and evidence pipelines. If compliance is blocking your next enterprise deal, I've done this before. Cost Optimization Reduced AWS spend by 30–60% across multiple client environments through Reserved Instance strategy, right-sizing, Savings Plans, and architectural improvements. I find the waste and fix it — with proof. SRE & Production Reliability Monitoring, alerting, incident response, SLOs, and error budgets. Prometheus, Grafana, CloudWatch, ELK. I've worked in production SRE roles and know what "on-call ready" infrastructure actually looks like. ───────────────────────────────────── 📊 RESULTS THAT MATTER ───────────────────────────────────── - Reduced cloud costs 30–60% across multiple AWS environments - Led end-to-end SOC 2 compliance at two separate companies from gap assessment through audit - Built HIPAA-compliant AWS infrastructure for a US healthtech startup - Designed and operated EKS platforms supporting production SaaS workloads - Migrated legacy infrastructure to fully automated, IaC-managed environments - Built CI/CD pipelines that cut deployment time and eliminated manual steps ───────────────────────────────────── 🧰 CORE STACK ───────────────────────────────────── Cloud: AWS (primary) · GCP Containers: Kubernetes (EKS/GKE) · Docker · Helm · ArgoCD IaC: Terraform · CloudFormation · Pulumi · Ansible CI/CD: GitHub Actions · Jenkins · AWS CodePipeline Security: GuardDuty · Security Hub · CloudTrail · KMS · IAM · WAF Compliance: Vanta · Drata · SOC 2 · HIPAA Observability: Prometheus · Grafana · CloudWatch · ELK · Datadog Languages: Python · Bash · Boto3 ───────────────────────────────────── ✅ YOU'RE THE RIGHT FIT IF YOU... ───────────────────────────────────── - Are a startup or scale-up on Cloud that needs infrastructure built properly, not just quickly - Have a compliance deadline (SOC 2, HIPAA) and need someone who can Implement the technical controls, not just write policies - Are spending too much on AWS and need someone to find and fix the waste - Need a production Kubernetes environment set up, secured, and monitored - Want an experienced engineer who takes ownership and communicates clearly I'm available for both fixed-scope projects and ongoing hourly engagements. Free 30-minute discovery call for new clients — let's figure out if I'm the right fit before either of us commits.

Senior DevOps / Cloud Engineer specialising in Azure, Kubernetes (AKS), Terraform, and CI/CD automation. I help startups, scale-ups, and enterprise teams design, fix, and scale cloud infrastructure that is secure, reliable, and easy to deploy. Whether you’re struggling with unstable deployments, slow CI/CD pipelines, or poorly structured cloud environments, I can help you turn things around quickly. With 6+ years of hands-on experience, I’ve delivered production-grade DevOps solutions across Azure (primary), AWS, and GCP, including Kubernetes platforms, Infrastructure as Code, and automated CI/CD pipelines for fintech, healthcare, and enterprise systems. What I can help you with: • Azure & AKS setup, optimisation, and troubleshooting • CI/CD pipelines (Azure DevOps, GitHub Actions, Bitbucket) • Infrastructure as Code (Terraform, ARM) • Docker & Kubernetes deployments • Cloud migrations (on-prem → cloud) • DevSecOps (security scanning, secrets, policy enforcement) • Monitoring & observability (Prometheus, Grafana, Azure Monitor) Why clients work with me: • Senior-level ownership — I don’t need hand-holding • Clear communication and practical solutions • Focus on outcomes, not just tools • Experience with regulated, production environments If you need a DevOps engineer who can take ownership, move fast, and deliver reliable cloud platforms, let’s talk.

𝗖𝗹𝗼𝘂𝗱 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝘀𝗵𝗼𝘂𝗹𝗱 𝗻𝗼𝘁 𝘀𝗹𝗼𝘄 𝗱𝗼𝘄𝗻 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 Do you know that many companies struggle with unstable CI/CD pipelines, poor cloud architecture, and infrastructure that doesn't scale? These issues don’t just affect systems—they affect user experience and revenue. If your deployments are taking too long, your cloud bill keeps increasing without a clear reason, or your application goes down when traffic increases—that's a problem. If that sounds familiar, we might be a good fit. Think of your cloud infrastructure like the "Strait of Hormuz". If it gets blocked, everything stops. I help companies keep that route open because I have 6 years of hands-on experience working with cloud technologies. Over the years, I’ve helped teams move workloads from manual deployments to fully automated CI/CD pipelines, migrate applications to Kubernetes, and reduce cloud costs through proper architectural design. The focus is simple: build infrastructure that is stable, secure, scalable, and cost-efficient. Whether you're launching a SaaS product, scaling your startup, or managing an enterprise team, and you are looking for someone who understands both the technical side and the business impact of infrastructure decisions, feel free to reach out and share what you’re working on. — Muhammad Awais Sr. DevOps Engineer | Cloud | Kubernetes | CI/CD Automation P.S—𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗴𝗿𝗼𝘄𝗶𝗻𝗴 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀—𝗜'𝗹𝗹 𝗵𝗮𝗻𝗱𝗹𝗲 𝘁𝗵𝗲 𝗯𝗮𝗰𝗸𝗲𝗻𝗱 Frequently Asked Questions: ✔ How quickly can you set up or improve my infrastructure? I can design and deploy a solid cloud foundation within days, not weeks. ✔ Can you optimize my existing cloud setup instead of rebuilding everything? Yes. I review your current setup first and improve what already works. ✔ How do you reduce cloud costs without affecting performance? By analyzing usage, scaling policies, and architecture to remove unnecessary spending.

CKS │ CKA │ 𝐓𝐞𝐫𝐫𝐚𝐟𝐨𝐫𝐦 │ 𝐀𝐖𝐒 │ 𝐀𝐳𝐮𝐫𝐞 │ 𝐆𝐂𝐏 │ 𝐈𝐚𝐂 | 𝗗𝗲𝘃𝗢𝗽𝘀 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐂𝐥𝐨𝐮𝐝 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | Network Engineer Are your cloud costs spiraling? Is your team struggling to maintain application uptime and deployment velocity? I build and manage scalable, resilient, and cost-effective cloud infrastructure that empowers your business to innovate faster and more reliably. As a senior DevOps and Site Reliability Engineer (SRE) with deep expertise in AWS and Kubernetes, I architect solutions that are not just powerful, but also secure and maintainable. My focus is on eliminating infrastructure bottlenecks, automating complex processes, and ensuring your systems achieve maximum performance and availability. My Core Services: Kubernetes & Container Orchestration: I design, deploy, and manage production-grade Kubernetes clusters (including Amazon EKS) from the ground up. My expertise includes cluster security, auto-scaling, service mesh implementation (Istio), and creating streamlined developer workflows with Docker and Helm. AWS Cloud Architecture & Automation: I build secure, scalable, and fault-tolerant infrastructure on AWS using Infrastructure as Code (IaC). I leverage tools like Terraform and CloudFormation to create repeatable and auditable environments, ensuring consistency across your entire cloud footprint. CI/CD Pipeline Development: I create robust, end-to-end CI/CD pipelines using tools like Jenkins, GitLab CI, and GitHub Actions. This enables your development teams to release code faster and with greater confidence, reducing manual errors and accelerating time-to-market. Site Reliability & Observability: I implement comprehensive monitoring, logging, and alerting solutions using Prometheus, Grafana, and CloudWatch. By establishing clear Service Level Objectives (SLOs), I proactively identify and resolve issues before they impact your users, ensuring rock-solid site reliability. My Technical Skillset Includes: Cloud Platforms: Amazon Web Services (AWS) - EC2, EKS, S3, RDS, VPC, IAM, Lambda, Route 53 Containerization & Orchestration: Kubernetes (K8s), Docker, Helm, Amazon EKS, ECS Infrastructure as Code (IaC): Terraform, AWS CloudFormation, Ansible CI/CD & Automation: Jenkins, GitLab CI, GitHub Actions, Bash, Python Monitoring & Observability: Prometheus, Grafana, ELK Stack, Datadog, AWS CloudWatch Whether you are migrating legacy systems to the cloud, optimizing an existing Kubernetes deployment, or looking to instill a true DevOps culture, I have the experience to guide you. Ready to build infrastructure that works for you, not against you? Click the "Invite" button to schedule a call. Let's discuss your infrastructure challenges and build a roadmap for success.

🚀 Shipping Gen-AI Apps & Production-Grade LLM Infrastructure | Top 3% Toptal Freelancer | 100% Job Success I help businesses deploy and scale Gen-AI/LLM applications on robust, cost-efficient cloud infrastructure. From self-hosting LLMs and fine-tuning models to building production-ready AI pipelines, I bridge the gap between cutting-edge AI and reliable DevOps practices. 🔹 WHAT I BRING: • Gen-AI/LLM Infrastructure: Self-hosted LLMs, fine-tuning pipelines, RAG systems, vector databases • Cloud & DevOps: AWS, GCP, Azure — Infrastructure as Code (Terraform), CI/CD, Kubernetes, Docker • Site Reliability Engineering (SRE): Monitoring (Grafana, Prometheus), incident response, 99.9%+ uptime • Software Architecture: Microservices, event-driven systems, scaling to millions of users 🔹 NOTABLE EXPERIENCE: • Senior Software Developer at Cisco (2.5 years) — Enterprise-grade Java/Spring microservices • Site Reliability Engineer at MailerLite — High-availability email infrastructure • DevOps Architect at TeamMate Technology (5+ years) — Full-stack Kubernetes deployments • Founder of Devplusops — Helping startups and enterprises modernize their infrastructure 🔹 WHY CLIENTS CHOOSE ME: ✅ 100% Job Success Score & Top Rated Plus on Upwork ✅ Top 3% vetted freelancer on Toptal ✅ "Ahsan is an excellent senior software engineer who solves complex problems quickly and with high quality. He is reliable and exceeded my expectations." — Former Technical Leader Whether you need to deploy your first LLM, optimize cloud costs, or build a bulletproof CI/CD pipeline, let's connect and take your infrastructure to the next level.

🎁 𝐆𝐄𝐓 𝐘𝐎𝐔𝐑 𝐅𝐑𝐄𝐄 𝐀𝐈 𝐑𝐄𝐀𝐃𝐈𝐍𝐄𝐒𝐒 𝐀𝐔𝐃𝐈𝐓 - send me a message and I'll analyze your stack, data pipelines, and AI use cases in 3-5 days. I work as a Machine Learning Engineer, AI Engineer, DevOps Engineer, and Python Developer delivering production Machine Learning systems and AI solutions using Python, with a strong focus on LLM, RAG systems, Computer Vision, and full MLOps / DevOps infrastructure. I operate with a team of 90+ engineers across Machine Learning, DevOps, and Backend, delivering complex Machine Learning and AI systems end-to-end, from data pipelines to deployed, monitored, and scaled systems in production for US and European clients. I'm a Machine Learning Engineer, AI Engineer, and Python Developer with 10+ years of experience building Machine Learning systems and AI solutions using Python for SaaS, fintech, manufacturing, and enterprise companies. As a Machine Learning Engineer, I combine Python, Deep Learning, NLP, Computer Vision, and LLM technologies to build scalable, production-grade Machine Learning systems that solve real business problems. 💻 As a Machine Learning Engineer, AI Engineer, and RAG Developer, I build RAG systems and Retrieval-Augmented Generation pipelines using Python, vector databases, semantic search, and knowledge retrieval systems integrated into production workflows. As a Machine Learning Engineer working with RAG pipelines, I design systems connected to SQL databases, CRMs, and internal knowledge bases. One Machine Learning-powered RAG system reduced support workload equivalent to 3 full-time employees, cutting response time from hours to seconds. As an AI Agent Developer using LangGraph and CrewAI, I build multi-agent Machine Learning systems where each agent handles retrieval, reasoning, and execution in a single production pipeline. 🤖 As a Machine Learning Engineer, AI Engineer, and LLM Developer, I deliver end-to-end LLM integration using Python and models like GPT-4/5, Claude, LLaMA, and Mistral. I build AI agents, AI copilots, and Machine Learning-driven automation systems integrated into enterprise workflows. As a Machine Learning Engineer, I handle prompt engineering, context engineering, embedding pipelines, vector databases like Pinecone, Weaviate, and Chroma, and optimization of Machine Learning and RAG systems in production environments. 👁️ As a Machine Learning Engineer and Computer Vision Engineer, I develop Computer Vision systems using Python, YOLOv8, Detectron2, and OpenCV for object detection, segmentation, and real-time analytics. I delivered a Machine Learning system that replaced manual inspection in manufacturing and reduced defect escape rate to near zero. I also build Document AI systems using OCR tools like Textract and Google DocAI, including full Machine Learning pipelines for processing noisy and unstructured data. 🧠 As a Machine Learning Engineer and NLP Engineer, I build Machine Learning systems using Python for Named Entity Recognition, text classification, semantic search, multilingual NLP, question-answering systems, sentiment analysis, and topic modeling. I combine traditional Machine Learning approaches with LLM technologies to deliver production-ready language systems. ⚙️ As a Machine Learning Engineer, MLOps Engineer, and DevOps Engineer, I design, deploy, and scale Machine Learning systems in production using Python and cloud infrastructure. I build Machine Learning and AI infrastructure with Kubernetes, Docker, Terraform, Ansible, Jenkins, Kafka, Grafana, Prometheus, and NGINX across AWS, Google Cloud, and Azure. In one DevOps and Machine Learning case, deployments scaled from 1 per month to 120 per month, deployment time decreased by 85%, and infrastructure costs were reduced by 55%. As a Machine Learning Engineer and DevOps Engineer, I don't just build models - I deploy, monitor, optimize, and scale Machine Learning systems in real environments. I build Machine Learning systems using Python, AI solutions, LLM applications, RAG systems, Computer Vision pipelines, NLP systems, and scalable MLOps / DevOps infrastructure that works in production. If you're looking for a Machine Learning Engineer, AI Engineer, Python Developer, or DevOps Engineer who understands Machine Learning systems, DevOps infrastructure, and real business workflows - you're in the right place. 🚀 If you're building or scaling a Machine Learning or AI product and need a Machine Learning Engineer, Python Developer, or DevOps Engineer who can design, build, deploy, and scale real production systems - not just prototypes - I can help. Most clients come when their Machine Learning systems are slow, unstable, or not delivering results. I redesign, optimize, and turn them into scalable Machine Learning and AI systems powered by Python and reliable DevOps infrastructure. 📩 Send me a message with your current setup, and I'll tell you what's missing, what can be improved, and whether your Machine Learning system is ready for prod