Industrial Engineer · Logistics · Advanced Manufacturing
Data Analysis · Full Stack
From Excel and WhatsApp to a 3PL control tower
Alteryx 
Excel 
Magaya 
Power BI 
Python 
R 
SAP 
SQL 
PostgreSQL 
Bizagi 
n8n Alteryx Excel Magaya Power BI Python R SAP SQL PostgreSQL Bizagi n8n 
Astro 
Asana 
GitHub 
VS Code 
Vercel 
Supabase 
Brevo 
Railway Astro Asana GitHub VS Code Vercel Supabase Brevo Railway 
ABOUT ME
I understand the operation before touching the code. My path goes from international logistics to software development — not as a career change, but as a natural evolution: when you manage real operations, you learn exactly what a tool needs to work in the real world.
Today I build systems that solve problems I've lived myself: production SaaS platforms, data pipelines, process automation. With Next.js, Supabase, Python and TypeScript — and with the judgment of someone who knows the business from the inside.
Read Full Story →International logistics, Incoterms, 3PL operations.
ETL pipelines, Python, SQL, visualization, Big Data.
Next.js, React, Supabase, TypeScript — real production systems.
Planning and execution of technical and operational projects.
In Production
From Excel and WhatsApp to a system that managed 400+ packages and 120+ international shipments in the first 90 days of production, under an authorized operational validation pilot.
In Production
From spreadsheets and WhatsApp groups to a full-stack platform with student registration, attendance tracking, automated teacher payroll, and real-time QR access control.
Master's Thesis · Grade 9/10
AS-IS TO-BE methodology and BPMN modeling in a Venezuelan manufacturing company reactivated after eight years of closure. 13 documented problems, 13 Odoo-powered improvements, >90% reduction in quotation time.
v2.1 · Certified optimum
Reordering the 24-Grand-Prix calendar as a TSP with time windows, solved with an exact solver (OR-Tools CP-SAT) and a genetic algorithm. The genetic algorithm reached the certified optimum with a 0.00% gap, and all 7 constraints are audited on every run.
Thoughts and analysis on the intersection of industry and technology.
A personal story about the industrial-mathematician-programmer triad, and how I learned that building from the inside starts with an advantage no external team can buy.
Read MoreHow I designed a database without a development background: from data to design, from evolution to silent errors. Three lessons no course teaches the same way.
Read MoreHow an AS-IS analysis revealed that a recycling company had one single process where they thought they had six — and why arriving with the answer already built is the most expensive mistake.
Read MoreDiscover how Conway's Game of Life connects with modern AI (LifeGPT, NCA), Big Data optimization, and real predictive modeling.
Read MoreFinancial anatomy of Incoterms. Why CIF is riskier than FOB and how to calculate Total Landed Cost (TLC).
Read MoreAutomated data quality reports (nulls, duplicates, types) for any dataset.
Useful for:
Initial data cleaning, quality audit, pre-ETL validation.
Extracts tabular data from unstructured PDF invoices to Excel using Generative AI.
Useful for:
Accounts payable automation, archive digitization, cost auditing.
Mathematically calculates Safety Stock and Reorder Points (ROP) based on service level.
Useful for:
Obsolete stock reduction, stockout prevention, purchasing planning.
Massive geodesic distance calculation (Haversine) between nodes for route planning.
Useful for:
Last-mile optimization, network coverage analysis, freight calculation.
Logistics cost and responsibility simulator (Buyer vs Seller) with HTML reporting.
Useful for:
International negotiation, landed cost estimation, team training.
Strategic inventory classification (80/20) and automatic chart generation.
Useful for:
Warehouse management, cycle counting prioritization, sales strategy.
