TKTyler Kleint

Tyler Kleint

Linux Systems Administrator · Infrastructure Engineer

Bronx, NYtyleralk@gmail.comooknulsus.comLinkedInGitHub

Summary

Linux Systems Administrator with five years of experience supporting university research and computer science environments, plus ongoing Kubernetes and GPU research-infrastructure work. Administers Linux, virtualization, networking, identity, containers, cloud services, and web infrastructure; automates provisioning and operations with Ansible, Bash, SSH, and Python.

Technical Skills

Linux & Systems

  • Linux
  • Ubuntu
  • systemd
  • VMware
  • JupyterHub
  • Nginx
  • Caddy

Containers & Cloud

  • Kubernetes
  • Docker
  • Ansible
  • AWS
  • Azure
  • DigitalOcean

Networking & Security

  • TCP/IP
  • DNS
  • DHCP
  • LDAP
  • SSH
  • TLS
  • PXE

Automation & Services

  • Bash
  • Python
  • Git
  • GitHub Actions
  • CI/CD
  • PostgreSQL
  • Redis/RQ
  • REST APIs

Experience

Junior Systems Administrator

–

The City College of New York, Computer Science Department · New York, NY

  • Administered a multi-user Linux lab supporting university research and computer science instruction.
  • Deployed and maintained Ubuntu servers, JupyterHub services, Nginx reverse proxies, and TLS certificates issued through Let’s Encrypt.
  • Automated recurring administration with Bash and SSH while operating DNS, DHCP, LDAP, VMware, and infrastructure monitoring.
  • Administered hybrid Azure, AWS, and on-premises infrastructure; diagnosed Linux service, network connectivity, and access-control incidents.

Technical Projects

CCNY Glasslab — Research Infrastructure Engineering

– Present

Research infrastructure project

  • Build and administer a 7-node Kubernetes research cluster with 4 schedulable NVIDIA GPU workers and an 11 TB NFS-backed shared-storage pool.
  • Automate PXE provisioning, host and GPU configuration, package maintenance, container-image delivery, and operational checks with Ansible and Bash.
  • Maintain a durable control plane spanning workflow APIs and registries, PostgreSQL, MinIO, NATS, local model serving, CI policy, and post-change smoke tests.

ADNS — Anomaly Detection Network System

–

Computer Science senior project

  • Built an end-to-end anomaly-detection platform combining live tshark capture, Flask APIs, PostgreSQL, Redis/RQ asynchronous scoring, machine-learning detection, and a React dashboard.
  • Packaged the API, worker, frontend, PostgreSQL, Redis, and optional capture agent as a reproducible Docker Compose deployment with service health checks.

Education

B.S., Computer Science

The City College of New York (CUNY) ·