Marvinmarvinjb.dev
Portrait of Marvin

ABOUT ME

Hey, I'm Marvin.

AI Engineer with a background in SQL Server database systems and production infrastructure.

Before transitioning into AI, I spent several years working with Microsoft SQL Server in production environments, where I developed experience in database administration, automation, monitoring, performance tuning, backup and recovery, and operational reliability.

That background influences how I approach AI engineering today—building systems that emphasize reliability, maintainability, observability, and scalability rather than simple demos.

THE MAP

What would you like to know about me?

Choose a path into my background, projects, ideas, or the ways we can work together.

01 · PROFILE + SKILLS

Who am I?

An AI engineer focused on turning ambitious ideas into useful systems—fundamentals first, frameworks second. These are the capabilities I take from idea to production.

SKILL

CORE

Python + TypeScript

The languages I use to build AI services, interfaces, and production workflows.
SKILL

AI SYSTEMS

LLM applications

Prompt design, structured outputs, tool calling, and reliable model integrations.
SKILL

RETRIEVAL

RAG + search

Grounded answers built with thoughtful chunking, retrieval, reranking, and evaluation.
SKILL

AGENTS

Agentic workflows

Human-aware systems that plan, use tools, recover from failure, and stay observable.
SKILL

PROTOCOLS

MCP + integrations

Connecting intelligent applications to the real tools and data they need.
SKILL

DELIVERY

Product engineering

Turning uncertain ideas into focused, testable software people can actually use.
Want the formal version?Work history and experience will be added here.
Résumé coming soon

02 · SELECTED WORK

What have I built?

Real systems, clearly explained. Project links, screenshots, repositories, and verified results will replace these structured placeholders.

DEMO

PROJECT · CASE STUDY COMING

Knowledge Retrieval Engine

A source-aware research system built around hybrid retrieval, grounded synthesis, and measurable relevance.RAG · PYTHON · EVALS
DEMO

PROJECT · CASE STUDY COMING

Operations Agent

A tool-using agent that turns messy requests into visible workflows with approvals at the right moments.AGENTS · MCP · TOOL CALLING
DEMO

PROJECT · CASE STUDY COMING

Unified Model Gateway

A resilient model interface with routing, usage controls, structured telemetry, and provider fallbacks.TYPESCRIPT · APIS · OBSERVABILITY
TRY THIS FIRSTYour flagship project will live here.

Visitors will be able to open the demo, read the case study, and inspect the code.

03 · NOTES + BLOG

How do I think?

The blog will organize practical lessons from building AI systems into useful trails—not disconnected posts.

POST

FIELD NOTE · PLANNED

Retrieval quality starts before the vector database

Why content boundaries and evaluation questions shape everything downstream.
POST

LAB NOTE · PLANNED

What makes an agent trustworthy?

The product decisions that matter more than choosing an orchestration framework.
POST

SYSTEM NOTE · PLANNED

The small model gateway I keep rebuilding

A practical architecture for routing, fallbacks, usage data, and provider independence.

04 · CONTACT

Let's build something useful.

Have an AI problem, a role, or an idea worth testing? Send Marvin a note.

jbmarvin21@gmail.com →