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ML engineer who builds LLM and production ML systems, plus the Python backends and infra they run on. That mix is my edge: my models don't just sit in a notebook; they run fast, cheaply, and reliably in production. 5 years in production ML. CKA certified. 49 projects on Upwork. What I build: Python backends and APIs: FastAPI, async services, REST and OpenAI-compatible endpoints, Redis for caching and feature stores, built to hold a p95 target in a live request path (I cut one serving path from ~25s to 4-5s under concurrent load). Platform and infra: containerized deployment across 50+ Kubernetes clusters, Terraform IaC, ArgoCD/Helm GitOps, and Prometheus/Grafana monitoring, hosted or in your own cloud. Cost-efficient GPU and inference: self-host open models (Qwen, testing MiniMax/GLM) to replace expensive APIs, and two-layer autoscaling (KEDA + Karpenter) that cut idle GPU spend ~50%. LLM and RAG systems: model serving on vLLM, RAG pipelines with monitoring on retrieval quality, and structured/guided decoding so outputs follow a fixed schema your backend can consume. Local and edge inference: quantized GGUF models profiled and tuned to run on CPU and constrained hardware, not just big GPUs. Stack: Python, FastAPI, PyTorch, vLLM, LiteLLM, RAG, MLflow, Kubernetes, AWS/SageMaker, Terraform, ArgoCD/Helm, Docker. Need it built hands-on or designed right? I work in your stack, send clear updates, and care about systems that keep running after I hand them off. Tell me what you're building and I'll give you an honest take.

Is your infrastructure scaling your business—or just your AWS bill? I specialize in helping startups and SaaS companies build production-grade AWS and Kubernetes environments that are secure, scalable, and reliable. Whether you're starting from scratch or need to stabilize and scale existing systems, I can assist at any stage. With over 6 years of hands-on experience managing production infrastructure, including fintech and no-code platforms, I understand the importance of uptime, deployment speed, and security. What I Deliver: • Cost Efficiency: Reduced AWS infrastructure costs by up to 60% for multiple clients through architecture improvements and scaling optimizations. • Speed: Cut deployment time for a no-code platform from ~15 minutes to under 40 seconds, enabling faster product releases. • Scalability: Built infrastructure supporting a fintech product scaling from thousands to millions of users. • Compliance: Designed and hardened systems to meet PCI DSS, VAPT, and GDPR compliance requirements. My Approach to DevOps: • Infrastructure as Code: Ensures controlled, repeatable changes. • CI/CD Pipelines: Fast, predictable, and safe deployments. • Observability: Early issue detection, not by users. • Security & Compliance: Built into the system from day one. Areas of Expertise: • AWS infrastructure design, automation, and cost optimization • Kubernetes / EKS production environments and scaling • CI/CD pipelines using GitHub Actions and Jenkins • Monitoring, alerting, and on-call readiness • Terraform-based infrastructure automation I’m best suited for founders and CTOs who want someone to take full ownership of production infrastructure, allowing internal teams to focus on product development. If you're ready to optimize your infrastructure and drive innovation, let's discuss how I can help.

I build the infrastructure production systems run on — and the services that run on it. 4+ years across AWS and Azure, including a live cross-cloud migration during the March 2026 Middle East regional outage with near-zero downtime. WHAT I DO ☁️ Cloud Infrastructure — AWS and Azure environments built from scratch. Reusable Terraform modules across dev/test/prod. Least-privilege IAM, private networking, and SOC 2 controls built in from day one rather than retrofitted before an audit. ☸️ Kubernetes & Delivery — EKS and AKS design, Helm charts, GitOps with Argo CD using App-of-Apps with auto-sync and self-healing. GitHub Actions pipelines with multi-arch builds and Trivy scanning inside the pipeline, not bolted on after. 📊 Observability — Full instrumentation, not just a dashboard. OpenTelemetry, distributed tracing with Jaeger, Prometheus with custom alert rules, Loki, and Grafana dashboards built for the questions your team actually asks at 3am. ⚙️ Backend & GenAI Pipelines — Python/FastAPI, Django, Node.js. Multi-tenant architecture with schema-per-tenant isolation. End-to-end LLM ingestion on Temporal — batch embedding, retry policies, vector databases — running unattended. 🌐 Networking & Production Firefighting — Routing protocols, VPC and Transit Gateway design, OpenVPN PKI, TLS termination, WAF, DNS, reverse proxies. When something is down and nobody knows why, this is the work I'm best at. 🚨 Backup, DR & Cross-Cloud Migration — Velero for cluster and persistent volume backups, database point-in-time recovery, geo-restore runbooks, and tested restore procedures. Live provider migration when it's needed. I've done this under real outage conditions, not just in a runbook. RESULTS - Migrated a client's full production workload from AWS to Azure with near-zero downtime during the March 2026 ME-CENTRAL-1 outage, while the region was unavailable and most teams in it were down for the better part of a day - Built complete backup and recovery for a production Kubernetes platform — Velero for cluster state and volumes, database PITR, and documented geo-restore runbooks, tested rather than assumed - Cut manual cloud operations ~95% with a serverless EC2 scheduling platform on Lambda, EventBridge Scheduler, and Terraform - Reduced order execution latency ~73% on a live automated trading system through Redis caching, async queue processing, and multi-broker integrations - Architected a multi-tenant SaaS platform on FastAPI and Keycloak SSO with schema-per-tenant PostgreSQL isolation and automated per-tenant provisioning - Reduced EKS attack surface ~90% with Calico micro-segmentation and Kyverno admission policies, and took the platform to full SOC 2 audit readiness - Eliminated ~90% of manual infrastructure setup and cut deployment time ~50% with standardized Terraform modules across AWS Organizations INDUSTRIES Fintech and algorithmic trading · Generative AI and document platforms · Healthcare (HIPAA identity infrastructure, 1M+ users) · Multi-tenant SaaS STACK Cloud: AWS, Azure · Terraform, Ansible Kubernetes: EKS, AKS, Helm, Argo CD, Istio, Calico, Velero CI/CD: GitHub Actions, GitLab CI, Jenkins Backend: Python, FastAPI, Django, Node.js, NestJS, Celery, Temporal Data: PostgreSQL, Redis, Elasticsearch, Qdrant Observability: OpenTelemetry, Prometheus, Grafana, Jaeger, Loki, EFK Security: Kyverno, Vanta, Trivy, SonarQube, Keycloak, WAF, OpenVPN Send me the problem rather than the job description — I'll tell you honestly whether I'm the right person for it, and what it will actually take.

108 projects delivered. 100% Job Success Score. $700K+ in DevOps and cloud engineering work shipped. I'm a Senior DevOps Engineer and AWS Cloud Consultant with 5+ years building and running production infrastructure on AWS, Kubernetes, and Terraform for startups and scaling SaaS products. My focus is simple: systems that stay up, deploy fast, and don't burn money. Certified: AWS Solutions Architect Associate, HashiCorp Terraform Associate. What I deliver: • AWS Cloud Infrastructure: Secure, scalable environments across EC2, S3, VPC, and IAM, built on proven architecture patterns, not guesswork. • Kubernetes and Containers: Production-grade EKS deployments with Docker-based workflows and container orchestration. • Infrastructure as Code: Terraform and CloudFormation setups so your infrastructure is version-controlled, repeatable, and never a mystery. • CI/CD Automation: Fast, reliable pipelines on GitHub Actions, GitLab CI, and Jenkins for continuous integration and continuous deployment. • Cost Optimization: Reduced AWS costs by 40% for clients through rightsizing, Savings Plans, and architecture changes, with zero performance impact. • Monitoring and Reliability: Full observability and site reliability engineering with Prometheus, Grafana, ELK, and CloudWatch, so problems get caught before your users notice. Recent results: • Deployed over 100 cloud infrastructures for SaaS clients on AWS • Achieved a 70% reduction in deployment time through CI/CD automation • Reduced AWS costs by 40% through rightsizing and architecture changes • Maintained 99.9%+ uptime on high-availability production systems • Migrated legacy systems to cloud-native architecture on Kubernetes with zero downtime How I work: I build for long-term stability, not quick fixes. As a DevOps engineer and cloud infrastructure specialist, you get clear communication, real ownership, and automated systems that scale without constant firefighting. Because I also have a software development background, I understand what your application actually needs from its infrastructure, not just what the diagram says. If you need a DevOps engineer, AWS consultant, or Kubernetes specialist to own your cloud infrastructure, reduce risk, and scale cleanly, send me a message and tell me about your setup.

𝐒𝐞𝐧𝐢𝐨𝐫 𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐌𝐄𝐑𝐍 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 with 7+ years of experience building scalable web applications, mobile apps, backend systems, and cloud infrastructure for startups and growing businesses. I help founders, startups, and established companies turn ideas into robust, production-ready products from MVP to full-scale SaaS platforms using the MERN stack, cloud-native architecture, and modern DevOps practices. Over the years, I've delivered full-stack web apps, cross-platform mobile apps, secure backend APIs, and automated deployment pipelines that are built to scale and stay reliable under real-world traffic. 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: - React.js & Next.js Frontend Development - Node.js & Express.js Backend Development - React Native Mobile Apps (iOS & Android) - MongoDB & PostgreSQL Database Architecture - REST API & GraphQL Development - AWS & GCP Cloud Infrastructure - Docker & Kubernetes Containerization - CI/CD Pipeline Setup & Automation - NGINX & Linux Server Administration - Microservices & System Design at Scale 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: - SaaS Platforms & Web Applications - Cross-Platform Mobile Apps - Admin Panels & Dashboards - Third-Party API Integrations - Secure Authentication & Authorization Systems - Real-Time Apps (Chat, Notifications, Live Data) - Cloud Infrastructure Setup & Migration - DevOps Pipelines & Automated Deployments - Performance Tuning & System Scaling 𝐇𝐨𝐰 𝐈 𝐖𝐨𝐫𝐤: With 7+ years in the field, I've learned that clear communication and a structured process matter as much as clean code. My approach: - Transparent, proactive communication - Well-planned architecture before writing code - Regular milestone updates - Security and performance built in from day one - Deployment strategies designed for long-term stability Whether you need a product built from the ground up, an existing system optimized, or ongoing technical support, I bring the experience to deliver dependable, growth-ready solutions. 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤: - Frontend: React.js, Next.js, Redux, JavaScript, TypeScript - Backend: Node.js, Express.js, REST APIs, GraphQL - Mobile: React Native - Database: MongoDB, PostgreSQL, MySQL - DevOps & Cloud: AWS, GCP, Docker, Kubernetes, CI/CD, NGINX, Linux - Other: WebSockets, Microservices, System Optimization 𝐎𝐩𝐞𝐧 𝐭𝐨: - Long-term & ongoing projects - SaaS product development - Startup MVP builds - Full-stack development - API & backend development - Mobile app development - DevOps setup & automation - Maintenance & scaling of existing systems 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗹𝗲 𝗶𝗻 𝗜𝗦𝗧 & 𝗣𝗦𝗧 𝘁𝗶𝗺𝗲 𝘇𝗼𝗻𝗲𝘀 𝗳𝗼𝗿 𝘀𝗺𝗼𝗼𝘁𝗵, 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗰𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻. 𝙇𝙚𝙩'𝙨 𝙩𝙖𝙡𝙠 𝙖𝙗𝙤𝙪𝙩 𝙮𝙤𝙪𝙧 𝙥𝙧𝙤𝙟𝙚𝙘𝙩 𝙖𝙣𝙙 𝙗𝙪𝙞𝙡𝙙 𝙨𝙤𝙢𝙚𝙩𝙝𝙞𝙣𝙜 𝙩𝙝𝙖𝙩 𝙡𝙖𝙨𝙩𝙨.

𝗦𝗲𝗻𝗶𝗼𝗿 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 & 𝗖𝗹𝗼𝘂𝗱 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 | 𝗖𝗹𝗼𝘂𝗱-𝗡𝗮𝘁𝗶𝘃𝗲 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻, 𝗜𝗮𝗖, | 𝗔𝗪𝗦, 𝗚𝗖𝗣, 𝗔𝘇𝘂𝗿𝗲 | 𝗞𝘂𝗯𝗲𝗿𝗻𝗲𝘁𝗲𝘀, 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺, 𝗚𝗶𝘁𝗛𝘂𝗯 𝗔𝗰𝘁𝗶𝗼𝗻𝘀, 𝗔𝗻𝘀𝗶𝗯𝗹𝗲 | 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆 & 𝗦𝗶𝘁𝗲 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 (𝟭𝟮+ 𝘆𝗿𝘀 𝗘𝘅𝗽) I help companies design, automate, and scale reliable cloud platforms that ship software faster and operate efficiently. With 12+ years in DevSecOps & Cloud Engineering, I specialize in building secure, high-availability systems across AWS, Azure, and GCP, empowering teams to deliver with confidence and speed. Alongside traditional DevOps excellence, I architect modern AI-driven platforms powering LLM applications, vector DB systems, GPU workloads, and automated workflows. From Kubernetes-based AI clusters to n8n and Airflow automation pipelines, I ensure AI products move smoothly from prototype to scalable production. ✅ 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗜’𝘃𝗲 𝘄𝗼𝗿𝗸𝗲𝗱 𝘄𝗶𝘁𝗵 𝗵𝗮𝘃𝗲: 👉 Reduced deployment times by up to 70% through automated CI/CD pipelines. 👉 Optimized cloud spend by 25–40% with better architecture and monitoring. 👉 Achieved 99.99% uptime with resilient Kubernetes clusters and HA systems. ⚙️ 𝗦𝗲𝗿𝘃𝗲𝗿 𝗔𝗱𝗺𝗶𝗻𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 & 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 👉 Linux Server Administration (Ubuntu, CentOS, RHEL) 👉 Networking & Security (VPC, VPNs, DNS, SSL, Firewalls, Load Balancers) 👉 System Hardening & Access Control (IAM, RBAC, MFA) 👉 Database & Caching Systems (MySQL, PostgreSQL, MongoDB, Redis, Memcached) 👉 Scripting & Automation (Bash, Python) 👉 Virtualization & Compute (VMware, EC2, Compute Engine, Azure VMs) 🛠️ 𝗗𝗲𝘃𝗦𝗲𝗰𝗢𝗽𝘀 | 𝗗𝗲𝘃𝗢𝗽𝘀 & 𝗖𝗹𝗼𝘂𝗱 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 👉 Cloud Platforms: AWS, Azure, GCP, DigitalOcean, Alibaba Cloud 👉 Containerization & Orchestration: Docker, Kubernetes, Helm, OpenShift 👉 Infrastructure as Code: Terraform, Ansible, CloudFormation, Puppet 👉 CI/CD Pipelines: Jenkins, GitHub Actions, GitLab CI, Bitbucket Pipelines 👉 Monitoring & Observability: Prometheus, Grafana, ELK, Datadog, New Relic 👉 Secret Management & Compliance: HashiCorp Vault, SOC2 / ISO27001 best practices 👉 Cost Optimization & FinOps Practices 🤖 𝗔𝗜 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 👉 AI & MLOps Platforms: SageMaker, Vertex AI, Hugging Face, Kubeflow, MLflow 👉 Vector Databases: Pinecone, Qdrant, Redis-Search / Redis-Stack 👉 LLM & GPU Workloads: Distributed model hosting, autoscaling, inference optimization 👉 AI-Ready Kubernetes: GPU nodes, inference services, model rollout workflows 👉 Workflow Automation: n8n, Airflow, event-driven pipelines 👉 Serverless AI & Edge Deployments: Lambda, Cloud Run, Vercel Edge Functions 👉 API & Model Integration: LangChain, OpenAI stack, secure model gateways 🎯 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 I build secure, scalable, and automated cloud and AI-ready infrastructure that helps teams ship faster, reduce costs, and operate with confidence. My focus is DevSecOps-driven platforms, efficient CI/CD delivery, and reliable Kubernetes environments built for real-world scale. I also deploy modern AI infrastructure, including GPU-based model serving, vector databases, and automation workflows with n8n and Airflow, taking AI products from prototype to production smoothly. The result: systems that are resilient, cost-efficient, disaster-ready, and built to grow with your business. 📌 𝗪𝗵𝘆 𝗛𝗶𝗿𝗲 𝗠𝗲? If you need a hands-on DevOps partner who can design, automate, and optimize your infrastructure while ensuring speed, security, and scalability - I can help. I don’t just build systems; I make sure they deliver business value through efficiency, resilience, and reduced costs. 𝗟𝗲𝘁’𝘀 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗮𝗻𝗱 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝗜 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝘀𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝗻𝗲 𝘆𝗼𝘂𝗿 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁𝘀, 𝗮𝗻𝗱 𝗺𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝗥𝗢𝗜 𝗼𝗻 𝘆𝗼𝘂𝗿 𝗰𝗹𝗼𝘂𝗱 𝗶𝗻𝘃𝗲𝘀𝘁𝗺𝗲𝗻𝘁𝘀. 👉 𝗛𝗮𝘀𝗵𝘁𝗮𝗴𝘀 𝘁𝗼 𝗳𝗶𝗻𝗱 𝗺𝗲 #DevOps #DevSecOps #SRE #CloudArchitect #AWS #Azure #GCP #Kubernetes #Docker #Terraform #Ansible #GitOps #CICD #Jenkins #GitHubActions #GitLabCI #ArgoCD #Helm #InfrastructureAsCode #PlatformEngineering #CloudSecurity #Monitoring #Prometheus #Grafana #ELK #Datadog #Serverless #Automation #n8n #Airflow #WorkflowAutomation #MLOps #AIInfrastructure #LLMDeployment #GPUCloud #SageMaker #VertexAI #HuggingFace #LangChain #VectorDB #Pinecone #Qdrant #Redis