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About Me: Greetings! I am a seasoned Senior DevOps Engineer, currently making significant contributions to the SAFARICOM migration project at Gebeya. With over 13 years of hands-on experience in the IT domain, my expertise spans cloud computing, networking, and network security. Holding a BSc degree in Computer Science and backed by 28 certifications, including AWS Solution Architect and Azure Solution Architect, I am dedicated to driving innovation and excellence in every project. Professional Journey: My current role at Gebeya allows me to leverage TKG (Tanzu Kubernetes Grid) for optimal DevOps implementation. Simultaneously, I serve as a Cloud Computing Trainer at Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH, a global organization committed to sustainable development. Here, I focus on empowering individuals and teams with the skills needed to harness the full potential of cloud technologies. Extensive Expertise: Beyond my responsibilities at Gebeya, my expertise extends to key DevOps tools and technologies such as Azure, GCP, Kubernetes, Docker, Jenkins, and Ansible. As a Cloud Computing Trainer, I deliver comprehensive training sessions covering fundamental cloud concepts to advanced topics like security, cost optimization, and migration strategies. This dynamic knowledge, coupled with hands-on experience, positions me as a multifaceted professional capable of adapting to emerging technologies. Continuous Learning Philosophy: Throughout my five-year journey in the industry, I've embraced a philosophy of continuous learning. This involves not only obtaining certifications but also staying at the forefront of evolving technical landscapes. By consistently upgrading my skills, I ensure that I navigate the dynamic IT terrain effectively, providing innovative solutions to intricate challenges. A Versatile Professional: My expertise extends beyond the traditional realms of DevOps, encompassing key technologies that are shaping the future of IT. From orchestrating containers with Kubernetes to streamlining automation with Ansible and ensuring robust CI/CD pipelines with Jenkins, I bring a comprehensive skill set to the table. Adaptability as a Core Strength: What sets me apart is not just my proficiency in existing technologies but also my adaptability to new ones. In an industry that evolves rapidly, I pride myself on swiftly mastering emerging technologies. This ensures that my skill set remains cutting-edge, allowing me to bring the latest innovations to every project. Why Collaborate With Me: Proven Expertise: Demonstrated success in implementing DevOps practices and navigating complex cloud environments. Versatility: Proficient in an array of technologies, offering comprehensive solutions tailored to unique project requirements. Adaptability: Adept at quickly mastering emerging technologies, ensuring continuous relevance in a rapidly evolving field. Training and Hands-On Experience: My extensive background in cloud architecture, combined with a commitment to sharing knowledge through training and practical application, makes me an invaluable asset to any team. Let's Forge Ahead Together: If you're seeking a seasoned professional with a holistic skill set, an unwavering commitment to continuous improvement, and a passion for driving success in cloud technology, I am eager to connect and contribute to your projects.

Senior Python & AI Engineer specializing in FastAPI, Django, Flask, React, and production AI systems. I build scalable backend platforms, cloud-native APIs, and intelligent applications powered by machine learning and large language models. Over the past 5+ years, I've worked across startups and product companies, delivering production software ranging from high-performance backend services to AI-powered SaaS platforms. My experience spans Python, FastAPI, Django, Flask, React, PostgreSQL, Redis, Kafka, Docker, Kubernetes, AWS, GCP, and modern CI/CD pipelines. Beyond application development, I have hands-on experience training transformer models from scratch, building RAG systems, integrating LLMs into production products, and deploying machine learning workloads. I've contributed to products in manufacturing, supply-chain management, e-commerce analytics, conversational AI, CAD automation, and enterprise SaaS. Whether working independently or as part of an engineering team, I focus on writing maintainable, scalable software that solves real business problems. 𝗖𝗼𝗿𝗲 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 • Python (FastAPI, Django, Flask) • AI/ML, LLMs, RAG, NLP, PyTorch & TensorFlow • REST APIs, microservices & distributed systems • PostgreSQL, MongoDB, Redis, RabbitMQ & Kafka • React, Next.js & TypeScript • Docker, Kubernetes, AWS, GCP & CI/CD • Production AI integrations and cloud deployment 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 ✔ High-performance backend systems ✔ AI-powered web applications and automation ✔ Cloud-native architectures and microservices ✔ Secure, well-tested, maintainable code ✔ End-to-end product development—from MVP to production 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Python Developer | Django Expert | FastAPI Developer | Flask Developer | Backend Engineer | API Development | AI/ML Engineer | Chatbot Developer | NLP Specialist | React Developer | SaaS Architecture | Cloud & DevOps | Docker | AWS | Data Pipelines | LLMs | TensorFlow | PyTorch | Web Scraping

⭐𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗔𝗪𝗦 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 & 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲𝗱 𝗗𝗲𝘃𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 with a strong understanding of AWS services, Kubernetes and DevOps Best-Practices. I help companies manage, implement, integrate, and fix AWS services. Up to 70% 𝘾𝙤𝙨𝙩 𝙎𝙖𝙫𝙞𝙣𝙜 Are you a company or individual: ✦ Isn't sure which AWS services are the best fit for your solution ✦ Has issues in your system but don’t know the root cause or how to fix it ✦ Needs help setting up, configuring, or managing AWS infrastructure ✦ Wants to integrate AWS with other AWS services or third-party tools ✦ Wants to automate deployments for better performance and reliability Working with me, you will ✅ Stop guessing which AWS services best fit your solution I’ll design and implement proven, battle-tested architectures tailored to your needs ✅ Identify and resolve the root causes of your system issues, ensuring they don’t happen again ✅ Gain a scalable, secure, resilient, and high-performance infrastructure built on AWS best practices, aligned with the AWS Well-Architected Framework ✅ Seamlessly integrate AWS services with third-party tools for smooth, efficient workflows ✅ Optimize your infrastructure to reduce costs by up to 70% without sacrificing performance or reliability ✅ Enjoy fully automated, resilient, and scalable deployment pipelines that speed up releases and reduce human error ✅ Improve your development workflow and accelerate your time-to-market with DevOps automation and best practices 𝗔𝗯𝗼𝘂𝘁 𝗠𝗲 I am a Cloud & DevOps expert with hands-on experience in designing, implementing, deploying, and optimizing infrastructure that aligns perfectly with your business goals. Holding dual AWS certifications and a Kubernetes certification, I bring proven expertise in building scalable, secure, and cost-efficient solutions on the AWS platform. ⭐ Top Skills: 🔧 Core AWS Services: EC2, S3, VPC, IAM, RDS, Lambda, CloudFront, API Gateway, CloudWatch, SNS, SQS, DynamoDB, Route 53, ELB, EBS 🔧 Containerization: Docker, Kubernetes, ECS, EKS, AWS Fargate 🔧 CI/CD & IaC: GitHub Actions, Terraform, CloudFormation, Nginx, Bash 🔧 Full-Stack Development: NodeJS, ReactJS, NextJS, TypeScript, JavaScript, MongoDB, PostgreSQL

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 build scalable, high-performance backend systems that handle real-world complexity. Top Rated Plus with 4.5+ years delivering production-ready microservices, APIs, and distributed systems. Current & Recent Work: - MCP Server Hub - Distributed platform for managing MCP servers with microservices, Redis/Kafka messaging, and Nomad/Kubernetes orchestration - Software Factory - Autonomous coding pipeline with Temporal workflow orchestration and multi-agent LLM execution - SuperPlane - AWS CodeArtifact and Route53 integrations (open source) - Tinode Chat - Core contributor to open-source messaging platform Core Stack: Go(Golang) - Microservices - gRPC/REST APIs - PostgreSQL - Redis - Kafka - Docker - Kubernetes - Temporal - HashiCorp Vault/Consul Building from scratch or scaling existing systems - let's discuss how I can help deliver robust, maintainable solutions.

I am an Infrastructure/System Engineer and DevOps Engineer with hands-on experience designing, deploying, and operating secure, scalable, and highly available infrastructure across on-prem, virtualized, and cloud-native environments. Core Strengths - Infrastructure design and deployment - Linux system engineering and automation - Virtualization and SAN/storage management - Kubernetes and DevOps operations - Production troubleshooting and reliability engineering Technical Skills - Systems & OS: Linux (RHEL, CentOS, Rocky, Ubuntu), Bash scripting - Infrastructure: Virtualization, SAN, iSCSI, clustered and HA systems - Containers & DevOps: Kubernetes (Vanila, K3s, RKE2), Docker, Istio, CI/CD workflows. - Storage: Longhorn, shared block storage, Ceph. - Monitoring & Logging: Prometheus, Grafana, Elasticsearch. - Security & Ops: Firewalld, SELinux, system hardening, JIRA, osTicket. Projects & Accomplishments - Designed and deployed a high-availability Kubernetes platform with RKE2 and Istio. - Implemented persistent storage using Longhorn for stateful workloads. - Built monitoring and centralized logging for production visibility. Supported and stabilized enterprise systems through real-time incident response. I help organizations build, automate, and maintain dependable systems that scale with business needs while minimizing operational risk.