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Your deploys are slow, your cloud bill keeps climbing, and one bad night could take production down. I fix infrastructure so it stops being the thing that wakes you up. I'm a Dev Ops and Cloud Infrastructure Engineer with 10 years building, automating, and securing production environments on OpenStack, OpenShift and Kubernetes. Top Rated on Upwork with a 100% Job Success Score across every engagement — clients keep me because I ship work that runs without me and scales without surprises. What I deliver 🚀 CI/CD Automation — GitHub Actions, GitLab CI, pipelines that take you from manual, error-prone releases to fast, zero-downtime automated deploys with rollback built in. ☁️ Cloud Infrastructure (Open Stack, AWS, Azure) — Production-grade environments designed for scalability, security, and cost from day one. Cloud architecture, Deployment and Operations. 📦 Kubernetes & Containers — Cluster setup, migration, and management on bare metal or self-managed clusters. Helm charts, Git Ops, auto scaling, zero-downtime cut overs, Docker containerization. 🏗 Infrastructure as Code — Terraform and Ansible environments that are version-controlled, auditable, and reproducible across every stage. No more manual config drift. 🐧 Linux Administration & Hardening — Server setup, performance tuning, security hardening, and Bash automation for environments that can't afford downtime. 📊 Monitoring & Observability — Prometheus, Grafana, and centralized logging so failures get caught before your users notice. Tech I work with daily · AWS · Azure · Docker · Terraform · Ansible · GitHub Actions · Git Lab CI · Jenkins · Helm · Prometheus · Grafana · Linux · Bash · Python I respond within 2 hours. Tell me what's breaking, slow, or expensive about your infrastructure and I'll tell you exactly how I'd fix it.

⭐ Golden Kubestronaut and Multi-cloud certified expert 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 Golden Kubestronaut CKA: Certified Kubernetes Administrator CKS: Certified Kubernetes Security Specialist CKAD: Certified Kubernetes Application Developer CAPA: Certified Argo Project Associate PCA: Prometheus Certified Associate ICA: Istio Certified Associate OTCA: OpenTelemetry Certified Associate CGOA: Certified GitOps Associate CCA: Cilium Certified Associate KCA: Kyverno Certified Associate CBA: Certified Backstage Associate LFCS: Linux Foundation Certified Systems Administrator 𝐀𝐖𝐒 AWS Certified Solutions Architect – Professional AWS Certified DevOps Engineer – Professional AWS Certified Security – Specialty AWS Certified Advanced Networking – Specialty 𝐆𝐨𝐨𝐠𝐥𝐞 Professional Cloud Architect Certification Professional Cloud DevOps Engineer Certification Professional Cloud Network Engineer Certification Professional Cloud Security Engineer Certification 𝐀𝐳𝐮𝐫𝐞 Microsoft Certified: DevOps Engineer Expert ⭐ Total of 10+ years of mixed experience in DevOps, Cloud Migration and infrastructure design Battle-tested DevOps engineer with more than 10 years specializing in bare-metal servers, virtualization /containerization environments (OpenStack, OpenShift), and public cloud providers (AWS, Google Cloud, Azure). I have helped my clients achieve the following: ■ 75% reduction in lead time for changes ■ 70% reduction in change failure rate ■ 80% increase in deployment frequency ■ 70% reduction in mean time to recovery ■ Setting up and managing production Kubernetes clusters with excellent API responsiveness (99% of all API calls return in less than 1 second) and Pod startup time (99% of pods start within 5 seconds) Top-notched in-depth knowledge and hands-on experiences in Kubernetes ecosystem and containerization world. Certified by Cloud Native Computing Foundation (CNCF) in various certification programs: Golden Kubestronaut Familiar with DevOps tools and software: Terraform, Jenkins, CircleCI, GitlabCI, ArgoCD, Ansible, Vault, SonarQube, Nexus, Jfrog, Kafka, Zookeeper, ELK, Datadog, Grafana, Prometheus, Istio, Cillium, Alert Manager, Checkpoint I work as the lead infrastructure engineer at Bao Viet Holdings, the largest Vietnamese insurance company, and Vietnam's seventh-largest listed company by market capitalization. Given that the organization is publicly traded (HOSE: BVH), it mandates the highest security level measures. One of my core duties is to manage the whole infrastructure and servers, ensuring full operational capacity, functionality, and security, as below: ■ Optimizing test automation, trunk-based development, and working in small batches ■ Consciously tracking and reporting on change failure rates ■ Implementing an automated deployment pipeline that incorporates automated testing and feedback mechanisms ■ Continuously monitoring system health and alerting operations staff in the event of a failure ■ Equipping operations staff with the necessary processes, tools, and permissions to resolve incidents Need a similar secured infrastructure and CI/CD pipeline setup for your team? Let's have a quick chat 💬

I build infrastructure that stays up when it matters. Government platforms for 2M+ citizens, banking systems for 1M+ users, and AI rendering stacks on GPU Kubernetes clusters. Shipped on time, documented for the team that inherits it. 5+ years owning the full stack: physical hardware, hypervisors, Kubernetes, service mesh, cloud networking, CI/CD, observability, and GPU AI workloads. Across government, fintech, SaaS, and deep-tech startups. Government Scale — OpenG2P Ethiopia, 3 Ministries Leading platform engineering for Ethiopia's national OpenG2P welfare system across ATI, MoWSA, and EDRMC. Serving 2M+ beneficiaries on RKE2 with Rancher, Istio mTLS, Keycloak SSO, WireGuard site-to-site VPN, XCP-ng hypervisor with Hardware RAID 1+0, and a full Prometheus + Grafana + Alertmanager + Loki observability stack. Currently executing a large-scale ODK to OpenG2P data migration with schema mapping, validation pipelines, audit trails, and phased rollback. AWS Serverless Architecture — WeTruck Architect and operator of WeTruck's serverless logistics platform. CloudFront to ALB to WAF (deny-by-default with Telebirr payment gateway IP whitelisting) to Lambda (FastAPI via Mangum). Fully Terraformed infrastructure. GitHub Actions with OIDC federation (zero long-lived credentials), RDS PostgreSQL, DynamoDB for JWT token store, SQS with dead-letter queue, Secrets Manager, AWS Amplify for three Next.js frontends (back-office, transporter, shipper), and Route 53 private/public DNS. I own production incidents end-to-end and authored the full deployment runbook and troubleshooting playbook. AWS in daily use: Lambda, EC2, EKS, CloudFront, ALB, WAF, RDS, DynamoDB, SQS, Secrets Manager, Amplify, ECR, Route 53, IAM OIDC, VPC (private subnets, NAT Gateway, VPC endpoints), CloudWatch, ACM. MPLS and AI Rendering Infrastructure — MetaPlux (Tech Lead) Tech Lead on a distributed GPU-aware AI rendering platform. MPLS networks for deterministic, low-latency routing across distributed rendering nodes with label-switched paths and traffic engineering for QoS-sensitive GPU workload traffic. BGP and OSPF routing across hybrid environments connecting on-premises GPU clusters to cloud egress points. WireGuard VPN tunnels for secure, auditable connectivity. Multi-cloud strategy across AWS and Azure for rendering workload distribution. Platform architecture for GPU-aware Kubernetes scheduling and job orchestration. This role sits at the intersection of deep networking and modern cloud infrastructure, the combination most DevOps engineers don't have. AI and GPU Infrastructure — Exponent.ch (Switzerland) Provisioned and managed NVIDIA GPU-enabled RKE2 clusters running AI and automation workloads: n8n, Langfuse LLM observability, LibreChat, and ClickHouse analytics. Standardized Helm deployments across 5+ environments using shared-stacks architecture. Integrated Teleport for zero-trust cluster access, automated secrets via Lade and 1Password. Prometheus + Grafana + Mimir observability with 99.9% metric coverage, 60% MTTR reduction, and 3 critical outages prevented through proactive alerting. Banking Infrastructure — 6 Ethiopian Banks, 1M+ Users Delivered high-availability mobile banking and USSD platforms for Siinqee Bank, Hijra Bank, Wegagen Bank, and others with 99.95% uptime across 1M+ users. Designed MPLS network architecture for multi-branch WAN connectivity with QoS for transaction data. Built Jenkins CI/CD for Maven Java apps (4 hours to 15 minutes). ELK processing 10TB+ daily logs. Proxmox and AWS hybrid cloud with ~35% cost reduction. Full Technical Stack Container Orchestration: Kubernetes (RKE2, EKS, K3s), Docker, Helm, Rancher, OpenShift Infrastructure as Code: Terraform, Terragrunt, Ansible, OpenTofu CI/CD: GitHub Actions, GitLab CI, Jenkins Cloud: AWS (full suite), Azure, OpenStack Networking: MPLS, BGP, OSPF, WireGuard, HAProxy, NGINX, VLAN, VPC design Service Mesh: Istio (mTLS, traffic policies, ingress) Observability: Prometheus, Grafana, Mimir, Alertmanager, Loki, OpenTelemetry, ELK, Zabbix, SigNoz Security and Identity: Keycloak, HashiCorp Vault, Teleport, IAM OIDC Virtualization: Proxmox, XCP-ng, VMware AI and Automation: NVIDIA GPU Kubernetes, YOLO, ONNX, TensorRT, n8n, Langfuse, LibreChat, ClickHouse Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, DynamoDB Backend: Python (FastAPI), Bash, Node.js How I work I overcommunicate early, give realistic timelines, and ship verified, not "it should work." I treat testing as the real deliverable, not a checkbox. If something is out of scope or a bad idea, I'll tell you before you spend money on it. Message me if you need: - AWS or Kubernetes infrastructure built or fixed - CI/CD pipelines developers actually trust - GPU and AI infrastructure with inference pipelines and observability - Migration from cloud to cloud, or on-prem to production cloud - MPLS, BGP, or complex network architecture across hybrid environments - Observability that catches problems before users do

I have more than 15 years of working experience as a Linux admin. Installing updating testing new Confluence plugins using Apache JMeter and Jenkins !! Tuning and upgrading the Environment, Apache tomcat, Oracle JDBC, Monitoring the JVM. USING Grafana and Influx DB. checking for Java threads problems !! check CPU and Memory usage and Apache tomcat ORACLE errors. Installing configuring Linux, Apache, MySQL, PHP .postfix Nagios,Zabbix.MySql . troubleshooting . and log monitoring and docker. I studied both cyber security and digital forensics coursed. So I have practical experience on the following . Security: Ethical Hacking & Countermeasures, Managing Secure Network Systems,Linux Networking, and Security, Conducting Penetration and Security Tests, Securing Wireless Networks, Investigating Network Intrusions and Computer Forensics. Malware analysis. Reverse Engineering. Principles of Secure Software Design.Hadoop. networking Tools: Wireshark.

✔️ Plex, IPTV, Emby, Jellyfin, Usenet Expert ✔️ Synology, TrueNAS, UnRaid, NAS, Proxmox, Openshift, Linux, Mac ✔️ Unity with PHP Multiplayer Game Development ✔️ Apache, NGINX, Varnish, Redis, Memcached, Postfix, Exim, MySQL, Postgres, MariaDB, DynamoDB, Redshift, Prometheus, Grafana ✔️ GCP, Microsoft Azure, AWS, Digital Ocean, Hetzner, Contabo, Cloudflare ✔️ SSO Expert- Authentik, LDAP, SAML, Keycloak ✔️ Proficient in Docker, Kubernetes, Helm, Terraform, Ansible ✔️ Expertise in Private DNS servers, DNS over TLS, DNS over HTTPS, Bind, DNSMasq, Unbound, etc ✔️ All Scripts/Forum Software installation and configuration ✔️ Troubleshooting Websites/servers (Linux) ✔️ Git implementation/integration with existing software flow, including CI-CD Pipeline ✔️ Domain Configuration, Management ✔️ Proficient in JAVA, PHP, PYTHON, SWIFT, KOTLIN. ✔️ Prepare for and carry out server migration. Site migration, Geo Restriction, Advanced Security ✔️ HestiaCP, Cloudflare, Tunneling, WHM, cPanel

🚀 🥇 Expert-Vetted Talent | Principal AI/ML | GenAI, LLM, RAG, Fine-tuning, Cloud(Azure, AWS, GCP) | Healthcare & FinTech I transform complex business challenges into cutting-edge AI solutions. With 15+ years leading AI/ML initiatives and a Doctor of Philosophy in Machine Learning from Iowa State University, Master's in Computational Neuroscience from UC San Diego, I deliver production-ready GenAI systems that drive measurable ROI. ✅ What I Offer: • GenAI & LLM Solutions: Custom GPT fine-tuning, prompt engineering, multi-agent systems, RAG architectures • Production AI Systems: End-to-end ML pipelines, MLOps, model deployment at enterprise scale • Healthcare AI: Clinical trial automation, medical document generation, HIPAA-compliant solutions • AI Strategy & Architecture: Technical roadmapping, proof-of-concepts, AI transformation leadership • Full-Stack AI Development: Python, PyTorch, TensorFlow, AWS, GCP, Azure, Vector DBs, Kubernetes 🎯 Recent Achievements: • Built AI system processing 100K+ clinical trials for pharma enterprise, enabling intelligent Q&A and benchmarking • Developed GenAI platform generating 100+ page clinical trial protocols with 95% accuracy • Led 60+ engineer team delivering first commercial AI healthcare product at ResMed (NYSE: RMD) • Created $1M+ revenue AI products in first year at multiple startups • Secured $3.5M+ funding through strategic AI product development 💼 Industry Expertise: • Healthcare/Pharma: Clinical trials, EHR integration, medical AI, FDA-regulated software • FinTech: Real-time fraud detection, risk assessment, payment processing systems • Enterprise SaaS: Multi-tenant architectures, API development, scalable AI services • Retail/E-commerce: Recommendation engines, inventory optimization, customer analytics 🔧 Technical Stack: AI/ML: GPT-4/5, Claude, Llama, BERT, Transformers, Fine-tuning, RLHF, RAG, Vector Databases Languages: Python, JavaScript, TypeScript, Java, Ruby, Go, SQL Frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, Scikit-learn, FastAPI Cloud/DevOps: AWS (SageMaker, Lambda, ECS), GCP (Vertex AI), Azure, Kubernetes, Docker Databases: PostgreSQL, MongoDB, Redis, Elasticsearch, Pinecone, Weaviate, ChromaDB Tools: MLflow, Weights & Biases, Git, CI/CD, Jupyter, Streamlit 📊 Quantifiable Impact: • 73% engagement increase for nonprofit youth chatbot with emotional intelligence • 94% accuracy in crisis detection for at-risk populations • 10X growth in subscriber base through AI-driven optimizations • 100+ pages of medical documents generated with regulatory compliance • $100K+/month revenue generated through ML-powered ad targeting 🎓 Credentials: • M.Sci. Computational Neuroscience - UC San Diego • IBM Certified: RAG and Agentic AI • Deep Learning Specialization - Coursera • Published researcher in AI/ML (Psychological Science, ICSE) • 4 provisional patents in AI/computer vision 🌟 What Sets Me Apart: Unlike typical developers, I combine deep technical expertise with business acumen from leading multiple successful startups. I don't just build models – I architect complete AI ecosystems that scale, comply with regulations, and deliver measurable business value. My neuroscience background provides unique insights into building truly intelligent systems that understand human behavior and needs. 📋 Services I Provide: • Custom LLM fine-tuning and deployment • RAG system architecture and implementation • Multi-agent AI system development • Healthcare AI and medical document automation • AI-powered data extraction and processing • Computer vision and image analysis solutions • Production ML pipeline development • AI strategy consulting and roadmapping • Technical due diligence for AI projects • Team mentoring and AI capability building 🤝 Working With Me: I pride myself on clear communication, translating complex AI concepts into actionable business strategies. Whether you need a production-ready AI system, strategic guidance, or technical leadership, I deliver solutions that exceed expectations. I'm available for both short-term projects and long-term engagements. Ready to transform your business with AI? Let's discuss how I can help you leverage the latest in GenAI, LLMs, and machine learning to achieve your goals. Keywords: Artificial Intelligence, Machine Learning, Deep Learning, GenAI, Generative AI, ChatGPT, GPT-4, GPT-5, Large Language Models, LLM, Fine-tuning, RAG, Retrieval Augmented Generation, RLHF, Vector Database, Embeddings, Transformers, NLP, Computer Vision, PyTorch, TensorFlow, Python, AWS, GCP, Azure, Healthcare AI, FinTech AI, MLOps, AI Architecture, Prompt Engineering, LangChain, Hugging Face