TYLER ENO

FRACTIONAL TECHNICAL PRODUCT MANAGEMENT FOR HIGH-STAKES HARDWARE & DIGITAL DEPLOYMENTS

Bridging digital software sprints and physical-world constraints for AI, defense, and hardware teams.

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EVgo PROJECT MANAGER NATIONAL EV NETWORK
VITO LEAD ARCHITECT AUTONOMOUS EDGE OS
CRITICAL INFRASTRUCTURE POWER LOGISTICS LARGE-SCALE TEMPORARY OPS
OFF-GRID SOLAR SUPPLY SYSTEMS ENGINEER SOLAR TRAILER DEPLOYMENT
SUN-WAVE SYSTEMS ARCHITECT EXPEDITION RV POWER

I work with recently funded teams where engineering leads are overloaded by coordination debt. Instead of adding a full-time manager, I deploy fixed-scope operational sprints that establish task architecture, deployment loops, and handoff-ready runbooks so engineering can keep building.

SERVICE MENU

14-DAY 0-TO-1 OPERATIONAL SPRINT

Problem: Team just raised and engineering is burning cycles on coordination instead of shipping.

Deliverable: Centralized tracking architecture, project charters, and custom operational runbook.

Pricing: $6,500+ fixed rate.

TERRESTRIAL & HARDWARE DEPLOYMENT SCOPING

Problem: Software moves fast while hardware timelines and field logistics create hidden delays.

Deliverable: Supply chain tracking architecture and logistical scoping for off-grid and edge-server deployments.

Pricing: Fixed project scope based on complexity.

FEDERAL GRANT & COMPLIANCE ALIGNMENT

Problem: Teams miss non-dilutive funding potential due to weak milestone and reporting structure.

Deliverable: Engineering roadmap mapped to DoD, Space Force, and STTR/SBIR reporting requirements.

Pricing: Fixed rate plus optional $3,000+ retainer add-on.

FRACTIONAL PO RETAINER

Problem: Operations framework exists, but delivery drifts without high-rigor backlog ownership.

Deliverable: 10 hours/week of scoped backlog grooming, sprint planning, and cross-functional bottleneck management.

Pricing: $3,500 - $5,000 per month.

FLAGSHIP PLATFORM CASE STUDY: VITO NODE ARCHITECTURE

// SYSTEM_SCHEMATIC_V4.0
%%{init: {'theme': 'base', 'themeVariables': { 'primaryColor': '#ffffff', 'primaryTextColor': '#000000', 'primaryBorderColor': '#000000', 'lineColor': '#000000', 'secondaryColor': '#f5f5f5', 'tertiaryColor': '#ffffff', 'background': '#fafafa', 'mainBkg': '#ffffff', 'secondBkg': '#f5f5f5', 'textColor': '#000000'}}}%% graph TB %% Define styles classDef hardware fill:#ffffff,stroke:#000000,stroke-width:2px,color:#000000 classDef logic fill:#f5f5f5,stroke:#000000,stroke-width:1px,stroke-dasharray: 5 5,color:#000000 classDef storage fill:#ffffff,stroke:#000000,stroke-width:2px,color:#000000 classDef cognitive fill:#e3f2fd,stroke:#1976d2,stroke-width:3px,color:#000000 subgraph Power_Layer["POWER & ENERGY"] direction TB Solar[Solar Array 2kW] --> CC[Charge Controller] Grid[Grid / Shore Power] --> CC CC --> LiFePO4[LiFePO4 Battery Bank] LiFePO4 --> PSU[Server PSU & Buck Converters] end subgraph Resilience_Layer["AUTONOMOUS RECOVERY"] Watchdog[Hardware Watchdog] -->|Hard Reset| Host UPS[UPS Backup] --> Host VOLT[Voltage Sensors] --> Orch end subgraph Compute_Layer["COMPUTE KERNEL"] direction TB Host[Linux Docker Host] Orch[Docker Orchestration] Host --> Orch Orch --> APP1[Data Logger] Orch --> APP2[Telemetry Forwarder] Orch --> APP3[Safety Controllers] Orch --> APP4[Monitoring Stack] end subgraph Cognitive_Core["COGNITIVE CORE"] direction TB Orch --> Ollama[Ollama Inference Engine] Ollama --> Model1[granite4:3b] Ollama --> Model2[qwen2.5:3b] Ollama --> Embed[nomic-embed-text] Model1 --> CrewAI[CrewAI Orchestrator] Model2 --> CrewAI Embed --> VectorMem[Vector Memory
ChromaDB] VectorMem --> CrewAI CrewAI --> Agent1[SysAdmin Agent] CrewAI --> Agent2[Strategist Agent] CrewAI --> Agent3[Writer Agent] CrewAI --> Agent4[Editor Agent] Agent1 --> DockerSock[Docker Socket] Agent2 --> SerperAPI[SerperDev API] Agent2 --> Internet[Internet] end subgraph Storage_Layer["ATOMIC STORAGE"] direction TB NVMe[NVMe RAID 1] Log[Immutable Logs] APP1 --> NVMe APP2 --> NVMe APP3 --> NVMe CrewAI --> RunHistory[Run History] RunHistory --> NVMe NVMe --> Log Log --> BUFFER[Store & Forward Buffer] end subgraph Mission_Control["MISSION CONTROL"] direction TB CrewAI --> Status[Status] Status --> FastAPI[FastAPI Backend
Port 8085] FastAPI --> NextJS[Next.js Dashboard
Port 3003] NextJS --> Operator[Operator] end subgraph Network_Layer["MESH & TRANSPORT"] direction TB Mesh[Zero-Trust Mesh / VPN] Telem[LoRa Telemetry] BUFFER --> Mesh APP4 --> Mesh Host --> Telem NextJS --> RemoteAccess[Remote Access] RemoteAccess --> Mesh end subgraph Observability["OBSERVABILITY"] APP4 --> DATADOG[Datadog Metrics] APP4 --> SENTRY[Sentry Error Tracking] FastAPI --> HealthStatus[Health Status] HealthStatus --> DATADOG Mesh --> REMOTE[Remote Access] end %% Inter-layer connections PSU ==> Host Watchdog -.->|Heartbeat| Orch %% Styling class Solar,Grid,CC,LiFePO4,PSU,Host,NVMe,Watchdog,UPS hardware class Orch,APP1,APP2,APP3,APP4,Mesh,Telem logic class Log,BUFFER storage class DATADOG,SENTRY,REMOTE,VOLT logic class Ollama,Model1,Model2,Embed,CrewAI,VectorMem,Agent1,Agent2,Agent3,Agent4,DockerSock,SerperAPI,Internet,Status,FastAPI,NextJS,Operator,RunHistory,HealthStatus,RemoteAccess cognitive

VITO is my flagship infrastructure platform and the technical foundation behind the consulting sprints on this site. The same architecture patterns are applied in client engagements to reduce operational risk in DDIL deployments.

EXECUTION & ARCHITECTURE

OFF-GRID EXECUTION UNDER CONSTRAINT

Context: Product ownership and infrastructure execution in resource-constrained desert environments.

Capability: Align software delivery with physical power, logistics, and deployment realities.

Result: Repeatable operating rhythm in environments where failure is expensive and visible.

VIEW CASE STUDY

AUTONOMOUS EDGE STACK + FEDERAL PATHWAY

Context: Architecture of autonomous off-grid server stack with resilient telemetry and recovery loops.

Capability: Milestone design that supports grant and compliance pathways including Space Force STTR workflows.

Credential: Google Project Management Certificate for Agile and Waterfall baseline rigor.

VIEW OPERATIONS

QUICK ACCESS

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DISCOVERY & CLIENT FIT

Currently taking on 1-2 new sprint clients per month. If your team needs immediate operational infrastructure without slowing engineering velocity, we should align scope this week.

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