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Tito Agudelo · Systems-minded product engineering

AI Systems.Built To Scale.

Explore the system

01 · Operating range

Evidence over theater.

Public, supportable signals only. Confidential business metrics stay confidential.

  1. 0114years in production engineeringCareer history from 2012 to present
  2. 025product environmentsMarketplaces, commerce, ticketing, food tech, enterprise
  3. 033delivery surfacesWeb, mobile, and platform systems
  4. 04AAaccessibility baselineQuality designed into the delivery path

02 · Architecture field

Systems are relationships.

Move through the field. The interface responds like the architecture does: every node has context, gravity, and a boundary.

AIArchitectureHuman in the loop
  • AWS
  • Kubernetes
  • Kafka
  • OpenAI
  • Anthropic
  • Terraform
  • Postgres
  • Redis

03 · Selected systems

Work, unfolded.

Three product environments. One recurring job: make complexity understandable and failure recoverable.

01 / 04

Problem

A time-sensitive marketplace has to present changing inventory, pricing, and purchase state without making the customer carry the system's complexity.

02 / 04

Architecture

Represent transitional and terminal states directly in the UI and API contracts.

03 / 04

Implementation

Component boundaries aligned to product states rather than screen-shaped abstractions.

04 / 04

Impact

Purchase state and recovery paths remained understandable during time-sensitive interactions.

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01 / 04

Problem

Demand can rise sharply around games and releases, putting the most valuable customer paths under the greatest technical pressure.

02 / 04

Architecture

Design independent loading and recovery boundaries around noncritical modules.

03 / 04

Implementation

React interfaces organized around independently recoverable product regions.

04 / 04

Impact

Critical customer flows were treated as isolated, observable paths rather than one all-or-nothing page.

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01 / 04

Problem

A two-sided marketplace has to keep distinct customer, provider, messaging, and transaction concerns coherent without turning every product change into a system-wide change.

02 / 04

Architecture

Group behavior around stable domain responsibilities rather than route-specific duplication.

03 / 04

Implementation

React product surfaces integrated with established Rails and data-service boundaries.

04 / 04

Impact

Marketplace responsibilities could evolve with clearer separation between user journeys and underlying services.

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04 · Engineering philosophy

Architecture is not the diagram. It is the quality of the decisions a team can keep making after the diagram is gone.

Clear boundaries. Short feedback loops. Systems that make the right behavior the easy behavior.

05 · AI playground

Prototypes with boundaries.

Small, inspectable demonstrations—not vague claims about intelligence.

01

Ask Tito

Career-grounded retrieval with source-attributed responses.

Live
02

Agents

Bounded tools, observable handoffs, human approval.

Architecture ready
03

Voice AI

Realtime turn-taking designed around interruption.

Architecture ready
04

Workflows

Typed, recoverable automation across systems.

Architecture ready

06 · Start a conversation

Build the system that comes next.

start-conversation

Ready to talk architecture, platforms, and pragmatic AI.

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