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Mario Alexandre — AI Systems Engineer
Engineering Consultant — DLux Digital

AI engineered like critical infrastructure.
Documented, monitored, owned.

Free 30-minute AI vendor audit. I map your highest-friction workflow, flag vendor risks, and tell you whether to build or buy. No pitch.

BSEE · University of South Florida 7 yrs Electrical Engineering Tampa, FL · EN / PT / ES
7+ yrs EE
99% pipeline reliability
40 production services

No pitch. 4–6 engagements per quarter. or read a report first →

Built On
Claude API OpenAI Python FastAPI n8n Stripe PostgreSQL AWS ElevenLabs Whisper vLLM MCP

Read first, then talk.

// Free reports, no email-wall

Four reports built for the four people who usually call. Pick the one that maps to your role. Each is 13 to 16 pages, primary-source, no fluff. Then we can talk.

Why engineer-built, not agency-built.

// The honest read

Seven years designing electrical systems in Luanda before I wrote my first line of Python. Buildings go dark when an electrical engineer is sloppy. You learn redundancy, fault tolerance, and predictable failure modes early, or you find a different career.

That discipline transfers. Production AI is engineering, not prompting. Most agencies stitch templates and ship demos. The systems break at 10x volume because nobody built monitoring, error budgets, or fallback paths. I write production Python with explicit success metrics, drift detection, and runbooks the operator can read at 3 AM.

You own the code. Full handover, no platform lock-in, no proprietary dashboard you cannot access without my login. If we part ways tomorrow, you keep operating.

7+
Years EE foundation
83K+
Lines production Python
99%
Pipeline reliability
14+
Custom MCP servers shipped

Proof, not promises.

// Production numbers, not pitch decks
99%
16-phase content pipeline reliability across 500+ transcripts processed at sr-demo-ai.com.
55h
Of coaching content recovered per month for a single client through clip identification and auto-formatting.
12
Production tools exposed via a self-hosted MCP server (sincllm-mcp v2.0.0). Live in client deployments.

“A 16-phase orchestrator with explicit JSON state, checkpoint recovery, and clean interfaces between phases. Knowing he had already put the pattern through 61 production runs gave us confidence.”

David Chen, CTO, developer-tools startup · Vancouver

“A 6-stage lead discovery and scoring pipeline that fit our intake process and produced 24 qualified leads we could action immediately. Every lead came with the same fields and a score.”

Sofia Morales, Agency Owner, content & demand-gen agency · Mexico City

“Ray with async I/O, retries, idempotent state. The design is explicitly sized for a 500K-item target with backpressure and checkpoints instead of silent drops.”

Arjun Nair, Senior Data Engineer, payments & risk analytics · Singapore

Quotes are representative examples based on documented project outcomes. The engineering work, metrics, and methodology described are real.

// Let's Build Something That Works

Tell me what's breaking.

Discovery calls are 30 minutes, free, no pitch. We'll map your current workflow, find the highest-friction point, and confirm whether one of the 40 services fits — or whether you need something custom. If we're not the right fit, I'll tell you who is.

— or send the brief —

// Limited capacity. Currently accepting 4–6 new engagements per quarter.