Selected case / 01
Incentives & earnings workflows
ImplementedBacklog count not verifiedProduct delivery for configurable eligibility, adjustments and clearer operational earnings visibility.

Product ownership · forward deployed engineering · applied AI
I turn operational friction into AI systems people actually use.
Industrial Engineer and Senior Product Owner at pickit. I work at the point where users, operations, product, and code meet—finding the constraint, shipping the smallest complete system, and staying through adoption.
Selected product & engineering systems
Selected personal and product initiatives. Where evidence allows, each case distinguishes an implemented system from product design, a prototype, or work still in validation.
Selected case / 01
Product delivery for configurable eligibility, adjustments and clearer operational earnings visibility.
Selected case / 02
Asynchronous intake and PDF assembly, with 1,056 letters in one documented run.
Selected case / 03
Persistent development-agent sessions with project context and controlled channel handoffs.
Project index / 25
Explore the work, its state, and what comes next.
25 / 25 projects
01 / Project case
Persistent development-agent sessions with project context and controlled channel handoffs.
Resume a website task from its Discord channel.
A project-bound session carries the relevant context into the next reviewed change.
Backlog means outstanding work, not a defect count. Documented counts are partial and dated; they are not summed into a global total.
Map the user, process, risk, and observable outcome before choosing a tool.
Combine deterministic workflows, agents, APIs, and human checkpoints around one useful outcome.
Document, test, teach, and leave the team with a system it can operate and improve.
Remote · International · English / Spanish
Open to fully remote international roles across Product Ownership, Forward Deployed Engineering, and applied AI automation.
Career journey · use the chapters
Explore the roles, decisions, and outcomes behind my work. Choose a chapter or play the complete journey.
Built a foundation in systems, operations, process design, and quantitative decision-making—the lens that still shapes every product and automation problem.
This training connects process analysis with product decisions: understanding how a system operates before choosing what to automate.
Started in operations: detected production-line failures through reporting, automated daily routines in Visual Basic, and built a production-control dashboard in R Studio.
The work combined operational reporting with hands-on tools: Visual Basic for recurring routines and R Studio for making production information easier to monitor.
Moved from analytics into product ownership: built ML and routing tools, taught PostgreSQL internally, then led UX/IT delivery and cut customer onboarding from two weeks to 20 minutes.
As an analyst, worked with PostgreSQL, Google Analytics, Tag Manager and Hotjar, plus Python models for delay prevention and routing. As Product Owner, led a five-person UX and IT team across the B2B platform, website and driver apps.
Created and consolidated a new Product area, led multiple IT cells and a two-person UX team, and shipped driver, B2B, B2C, last-mile, reverse-logistics, and geolocation improvements.
Coordinated Product, IT, UX and Operations. Delivery included the Android driver app, B2B extranet migration, a B2C mobile app and improvements to address geolocation for routing.
Turns stakeholder input into defined and documented features, preparing kickoff artifacts for initiatives prioritized at C-level and aligning product delivery with operational needs.
Beyond defining initiatives, built automation code with AI support, SQL queries and Python reporting workflows. Designed audit-app flows and data structures with UX, separately from the dashboards that consume audit data. Also built tools for kickoff preparation, meeting-transcript follow-up and a plugin marketplace to support day-to-day product work.
Teaches AI one-to-one, runs practical workshops, and delivered an approximately four-month n8n automation program for Mercado Libre teams while building applied AI systems.
Runs alongside the full-time role at pickit. Combines individual AI lessons and practical automation training with building and testing tools; the Mercado Libre program focused on enabling teams to create n8n automations.