Production Engineering
Process, automation and data
I'm a production engineer (graduating, Anhembi Morumbi University) with an uncommon path: over a decade building digital products before bringing that toolkit into engineering.
I treat everything as a process — map it, automate it, measure it, improve it. It's where Lean manufacturing meets Industry 4.0: data-driven optimization, with the difference that I can also design the automation and build the dashboard.
As hands-on proof, I designed and operate my own e-commerce automation platform — from the process design to the real-time monitoring infrastructure. The numbers below summarize the gain.
22
scheduled jobs running unattended
~16h
of manual work saved per week
~90%
reduction in operation lead time
13+
data sources orchestrated
At the core of the operation, I built a 4-stage automated pipeline, modeled like a production line, and an observability layer (real-time dashboards, SLOs and exception-based alerts) that applies process control to a digital environment — reducing manual intervention to nearly zero.
How I work
01
Map
I draw the value stream (VSM) and expose where the waste lives.
02
Automate
I replace manual tasks with reliable jobs and pipelines.
03
Measure
I instrument the process with real-time dashboards and metrics.
04
Improve
I iterate on data: less lead time, fewer errors, more throughput.
Capstone project
Lean & Industry 4.0 on a real operation
A case study applying Value Stream Mapping, process automation and an observability-based control layer — quantifying the reduction in lead time and manual work.
Skills
Languages