Write, configure, and deploy Netlify Edge Functions (Deno runtime at the network edge) in TypeScript/JavaScript.
Semantic cleanup and curation of Spectre/SPICE transistor netlists for analog review or reusable reference circuits.
Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network…
Use when working with the Network-Chronicles project or similar codebases.
Automated network troubleshooting and diagnostics for WSL/Linux environments
Diagnose interface errors, drops, CRCs, duplex mismatches, flapping, speed negotiation issues, and counter trends on routers, switches…
Detect and contain exploitation of exposed network services.
Move laterally from an initial foothold to additional hosts during an authorized assessment.
Contain and detect lateral movement across an internal network.
Diagnose connectivity between two endpoints (VMs, containers, IP addresses).
Demonstrate abuse of exposed remote-access services during an authorized network assessment — gaining a foothold through internet-facing…
Harden remote-access services against external-foothold abuse.
When to activate: network security, firewall rules, VPC security groups, NACLs, WAF, DDoS protection, VPN, network segmentation, zero…
Enumerate reachable hosts, open ports, and running services during an authorized network assessment.
Gain a foothold by exploiting an exposed, vulnerable network service during an authorized assessment.
Assess a network service's TLS/SSL configuration for weaknesses during an authorized assessment.
Build professional relationships through strategic outreach—cold emails, LinkedIn engagement, informational interviews, and follow-up…
Routes NeuralForecast time-series forecasting, data,
Use when drafting or triaging NeurIPS OpenReview author responses, rebuttals, and discussion-period replies under the current year's…
Use when stress-testing NeurIPS experimental evidence, including baselines, ablations, data splits, compute, negative results, real-world…
Use when positioning a NeurIPS submission against current-cycle ML literature, contemporaneous work, preprints, neighboring conferences…