Routing & network engineering
BGP, OSPF, IS-IS, anycast, EVPN/VXLAN, MPLS, TCP/IP, ARP, VLANs, ECMP, MTU/MSS, GRE, IPsec, and traffic-path validation.
I’m Hunter, a network and support engineer with 9+ years of experience across large-scale networked environments, cloud platforms, customer-facing escalations, and mission-critical infrastructure.
A background built around escalation ownership, packet-level troubleshooting, observability, and production network operations.
Worked across production network environments involving BGP, IS-IS, OSPF, EVPN/VXLAN, MPLS, anycast architectures, routing policy, forwarding behavior, optical transport faults, and multi-vendor platforms.
Led high-impact escalations across Cloudflare products including R2, Cache, Stream, Images, Bot Management, WAF, Magic Transit, Magic WAN, and Argo while partnering with Engineering and Product teams.
Troubleshot L3/L4/L7 issues across HTTP/S, APIs, caching, CDN behavior, DNS, application security, cloud-native architectures, logs, metrics, traces, and customer-facing incidents.
Supported VMware, hypervisors, vSphere, Cisco ISE, InfoBlox, Active Directory, Wireshark, VPN troubleshooting, hardware/software support, and internal documentation for large enterprise teams.
Practical experience across routing, network security, Linux diagnostics, observability, and distributed systems troubleshooting.
BGP, OSPF, IS-IS, anycast, EVPN/VXLAN, MPLS, TCP/IP, ARP, VLANs, ECMP, MTU/MSS, GRE, IPsec, and traffic-path validation.
Packet-level investigation and diagnostics using curl, dig, traceroute, mtr, tcpdump, netcat, ss, iproute2, tshark, and Wireshark.
Analyzing logs, metrics, traces, and telemetry with Grafana, Kibana, Prometheus, ELK, SQL, and tracing/profiling tools.
Experience with R2, Cache, Stream, Images, Bot Management, WAF, Magic Transit, Magic WAN, Argo, HTTP/S, CDN, and API behavior.
Operational exposure across Junos, IOS-XR, NX-OS, EOS, SONiC, Cisco ISE, InfoBlox, NetBox, Jira, and Kubernetes environments.
Hands-on experience with Bash, Python, Go, SaltStack, documentation, operational workflows, and repeatable troubleshooting processes.
A practical AI/data center network design study focused on how separate fabrics, routing domains, and operational boundaries fit together.
Designed and documented a multi-fabric AI infrastructure topology with a front-end EVPN/VXLAN fabric, GPU RDMA back-end fabric, NVMe-oF storage fabric, and out-of-band management network.
The design explores edge routing, border leaf placement, firewall inspection, spine-leaf connectivity, GPU compute racks, storage isolation, OOB access, ECMP, QoS, MTU consistency, and operational failure domains.
Validated networking and cloud fundamentals with hands-on production experience behind them.