[1:sys]Delta Corps Priest 1 Hero Screensaver
SVENDSEN|decryptβ€’intro
FIGlet: Delta Corps Priest 1β€’TTE Procedural Engine
120 FPSβ€’Canvas 2D Batching
svendsen@workstation
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Architect:Michael Svendsen
Role:Sr. Backend & AI Platform Engineer @ Reactiv
Focus:Analytics β€’ Personalization β€’ Data Infrastructure
Core Stack:Python β€’ SQL β€’ Snowflake β€’ dbt β€’ AWS β€’ MCP
Open Source:github.com/thesven (45+ Repos) β€’ @mikesven
Location:Aurora, Ontario, Canada (GTA / EST)
>_ TUI Shell Prompt
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Michael Svendsen Systems Terminal v2.4
Type help to list commands, or navigate workspaces directly.
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btop // Kernel Telemetry● ONLINE
CPU:[β–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘]
18% (32 Cores)
RAM:[β–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘]
4.2 GB / 64 GB
eBPF:[β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘]
2420 evt/sec
DRM:144 Hz Direct Scanout
wlroots v0.18
FEATURED PROJECT DISPATCHESall [2:docs] β†’
01 // Data Platform12 min read
Architecting a Resilient E-Commerce Analytics Engine: Snowflake, dbt & The Single Source of Truth for Autonomous Agents

When building high-volume e-commerce platforms, bolting AI agents onto disparate data stores creates fatal metric dissonance. Here is how to engineer a production-grade analytics foundation using Snowflake and dbt that cuts query times by 50% while serving as the authoritative single source of truth for both merchant dashboards and autonomous AI agents.

02 // Applied AI & IoT11 min read
SPYPOINT MCP: Bridging Cellular Trail-Camera Telemetry with AI Vision Agents

Trail cameras capture thousands of photos, but turning raw cellular photo streams into actionable field intelligence requires more than simple image downloads. Here is how I engineered an open-source Model Context Protocol (MCP) server for SPYPOINT cellular camerasβ€”featuring burst clustering algorithms that group 146 photos into 14 distinct visits, strict read-only safety guardrails, and automated contact sheet generation.

03 // Edge AI & Systems11 min read
Architecting LiteMCP: Bringing Model Context Protocol to Cloudflare Workers

Anthropic's Model Context Protocol (MCP) revolutionizes how LLMs interact with external tools and data, but official SDKs rely heavily on Node.js internals like stdio, net, and child_process. Here is how I architected LiteMCPβ€”a high-performance, edge-native TypeScript framework designed specifically for Cloudflare Workers with zero cold starts, Web Standards SSE streaming, and full JSON-RPC 2.0 compliance.