Wass Ntced
@wassntced
DevOps/MLOps engineer specializing in Linux infrastructure, Kubernetes, and AI-ready deployment automation for production reliability.
What I'm looking for
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
AI & Automation Researcher
Independent Projects
Integrated LLM agents into applications using local models (Gemini/Groq) and built AI-assisted development workflows using Vim with LLM plugins. Developed computer vision automation bots with OpenCV for game automation and data extraction tasks.
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.
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
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.
Udemy
Kubernetes Fundamentals (Course), Kubernetes Administration
Completed Udemy courses covering Kubernetes administration topics such as kubeadm and Ingress.
Self-Directed Professional Development
Solidity (Practical Knowledge), Blockchain Basics
Gained practical knowledge of Solidity for smart contract interaction and node validation.
Availability
Location
Authorized to work in
Job categories
Skills
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