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Wass NtcedWN
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Wass Ntced

@wassntced

DevOps/MLOps engineer specializing in Linux infrastructure, Kubernetes, and AI-ready deployment automation for production reliability.

Nepal
Message

What I'm looking for

I’m looking for a team that values production readiness—where I can own Linux/Kubernetes reliability, build automation (Ansible, CI/CD), and support AI workloads (GPU scheduling, model serving) with strong monitoring and secure networking.

I’m a DevOps and Infrastructure engineer focused on production-grade Linux reliability and automation—managing large-scale environments (100+ nodes) while keeping security compliance and availability high.

I bridge System Administration, containerization, and ML operations, building robust CI/CD with GitHub Actions, handling Docker container lifecycles and networking, and applying Kubernetes concepts (pods, services, ingress, and Helm) to support real workloads.

On the MLOps side, I optimize GPU scheduling and resource allocation for inference and training, and integrate model serving patterns (KServe/Seldon) and LLM agent workflows into operations. I also build backend services and AI-enabled applications with Python (Django/Flask/Celery), Rust (Actix Web), and REST APIs, backed by monitoring in Prometheus/Grafana and production deployment strategies like blue-green releases.

Experience

Work history, roles, and key accomplishments

PP

Full-Stack Backend Developer

Private MMORPG Project

Developed a private MMORPG server backend using Python and Rust (Actix Web), including secure payment integrations for banking and crypto payments. Built Telegram chat bots with AI integration for customer support automation and text recognition pipelines, and implemented backend logic for digital goods commerce and authentication.

SF

DevOps Engineer & Infra Spec

Self-Employed / Freelance

Administered and secured a production Linux environment spanning 100+ nodes, automating provisioning and deployments with Ansible. Managed Docker container lifecycles and CI/CD (GitHub Actions), implementing blue-green releases and supporting AI workloads with GPU scheduling and monitoring (Prometheus/Grafana).

Education

Degrees, certifications, and relevant coursework

SD

Self-Directed Professional Development

Self-Directed Professional Development, Linux Administration & Backend Engineering

Completed extensive self-study in Linux administration, cloud computing, AI/ML operations, and backend engineering.

UD

Udemy

Kubernetes Fundamentals (Course), Kubernetes Administration

Completed Udemy courses covering Kubernetes administration topics such as kubeadm and Ingress.

SD

Self-Directed Professional Development

Solidity (Practical Knowledge), Blockchain Basics

Gained practical knowledge of Solidity for smart contract interaction and node validation.

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