Open to backend engineering and AI automation opportunities

Backend Software Engineer building enterprise platforms and AI-assisted workflows.

I turn operational workflows into secure backend services, reporting systems, and carefully scoped AI automation.

01SELECTED ENGINEERING WORK

Systems built around real operational constraints.

Three non-confidential cases showing architecture, ownership, decisions, trade-offs, and delivery.

02 / AUTHORIZATION

Enterprise Identity & Access Control

RBACMultiple modules

Problem

Authorization needed to remain consistent across the interface, backend services, and data-access rules in multiple enterprise modules.

Constraints

Existing identities, sensitive information, participation-based rules, least privilege, and multiple application boundaries.

My ownership

Authorization rules · Backend enforcement · Data visibility · Module integration · Code review

Result

Backend-enforced RBAC and value-level visibility rules applied consistently across protected workflows.

Architecture

ClientAPI & AuthPolicies / RBACProtected Modules

Key decisions

Kept authorization enforcement in backend services, separated identity from permissions, and evaluated access where protected data is used.

Trade-off

Centralized authorization checks require careful integration, but they prevent security behavior from drifting between interfaces and services.

03 / AI AUTOMATION

AI-Powered Workflow Automation

AI IntegrationBusiness workflows

Problem

Business workflows required AI assistance without sacrificing validation, structured data, or human oversight.

Constraints

Nondeterministic model behavior, structured business data, existing rules, traceable outcomes, and safe failure handling.

My ownership

Integration design · Output schemas · Validation · Error handling · Human review workflow

Result

A reusable integration pattern that prepares structured AI output for controlled operational use.

Architecture

Business InputLLM AdapterValidation GuardrailsHuman Review

Key decisions

Used structured outputs, deterministic validation, modular adapters, explicit failure paths, and human approval for important actions.

Trade-off

Human review limits full automation, but reduces operational risk around nondeterministic model output.

02EXPERIENCE

Backend engineering shaped by real operations.

Enterprise software, logistics, reporting, access control, and automation.

Jan 2025 — Present

PetroWorks

Software Developer

IndustryOil & Gas

FocusEnterprise Platforms · Backend Architecture · AI Integration · Reporting

  • Building enterprise modules, reporting automation, access control, and AI-assisted workflows.

Mar 2024 — Dec 2024

GrownNet UK

Backend Developer

IndustryBusiness Software & Logistics

FocusBackend APIs · Orders · Logistics · Modular Design

  • Developed Laravel and MySQL services for order management and logistics workflows.

Sep 2023 — Feb 2024

PwC Colombia

IT Consulting Intern

IndustryConsulting & Financial Services

FocusDigital Transformation · Automation · AI

  • Translated process requirements for financial services clients into automation and practical technical solutions.

Jun 2023 — Dec 2023

Quanticom Valley

Backend Developer

IndustrySoftware Services

FocusData Pipelines · APIs · Platform Processes

  • Built Express and MongoDB data pipelines and APIs for internal platform workflows.

03ENGINEERING TOOLKIT

Tools organized around engineering responsibilities.

A compact view of the technologies and practices I use to build maintainable backend systems.

Core Engineering

C# / ASP.NET · Node.js / TypeScript · SQL Server · MySQL · MongoDB

Architecture

REST APIs · Service boundaries · RBAC · JWT · Background jobs · Modular design

Infrastructure

Docker · Git · Deployment · Scheduled jobs · Code review

AI Engineering

LLM API integration · Structured outputs · Business rule validation · Guardrails · Human review

Open to technically challenging work

Working on a technically challenging system?
Let’s talk.

I’m interested in backend engineering roles involving distributed systems, enterprise platforms, automation, and applied AI.