Sebastian Maniak
AI GTM Strategist & Cloud-Native Security Lecturer | Sheridan College & Solo.io
Sebastian Maniak is an AI Go-to-Market strategist at Solo.io focusing on AI gateways, API orchestration, and cloud-native connectivity, and a professor of Applied Network Security and Infrastructure as Code at Sheridan College. He designs secure production agent topologies, specializing in multi-tenant communication channels, access controls, and private LLM gateway routing.
Areas of focus
Professional niches
Proof of Work
Solo.io / Sheridan College: Multi-Step Agentic Workflow & Autonomous Error Recovery Engine
A verified production automation architecture implemented by Sebastian Maniak at Solo.io / Sheridan College, featuring stateful tool orchestration, automated failure recovery, and structured human approval checkpoints.
Operational workflow system; requires monitored execution runtimes and rate-limit backoff handling.
Context: Orchestrated via stateful multi-step agent graphs and deterministic JSON schema validation.
View missionSolo.io / Sheridan College: Autonomous Multi-Step Workflow Engine & Error Recovery
A verified production automation architecture implemented by Sebastian Maniak at Solo.io / Sheridan College, orchestrating multi-agent state machines, deterministic validation gates, and human-in-the-loop review queues.
Operational workflow system; requires monitored execution environments and API rate limit safeguards.
Context: Containerized gateway microservices, OpenClaw runtime, Python, and cloud-native Kubernetes routing.
View mission