M.S. in Chemical Engineering — Industrial Production × Data & AI
From chlor-alkali plants and flocculants to paper production: I optimize industrial processes combining plant control, neural network models, data analysis and automation.
Chemical engineer and master's graduate in Chemical Engineering with a specialization in Process Engineering. I have experience leading production in flocculant plants for water treatment, industrial processes and recycled paper production — currently Head of Production at Papelera Nacional.
My experience includes thermodynamic and heat transfer processes, electrolysis, flocculant production for water treatment and recycled paper manufacturing, as well as my time as a quality analyst in a hydrocarbons laboratory. I am a certified internal auditor in quality management systems ISO 9001:2015, and I am pursuing a master's in Integral Calculation of Piping Systems and Advanced Piping Engineering.
I combine plant process control with data analysis, Python and artificial intelligence to optimize operations, reduce costs and improve quality. I am fluent in English and Spanish, with basic Russian (A2).
Equipment tags: R = reactor/electrolysis · M = mixing · P = process plant
I lead multidisciplinary teams across the various stages of the recycled paper production process, controlling critical equipment variables and drying thermodynamics. I oversee the chemical treatment of paper and the comprehensive administration of production, ensuring compliance with quality, safety and environmental standards.
Supervised the production of flocculants for water treatment (aluminum sulfate, polyaluminum chloride, ferric chloride) with a team of 40+ people, maintaining quality, safety and environmental standards.
Supervised a team of 3 people in solvent and hydrocarbon derivative blending processes: soda dilutions, solid mixtures, dispatch and invoicing, ensuring operational efficiency, industrial safety and personnel training.
24/7 operations supervision in a chlor-alkali plant, managing ammonia thermodynamics, electrolytic brine processing, HCl synthesis and gaseous chlorine liquefaction.
Design and initiation of a study to optimize the dilution process, improving time, quality and raw material savings. Already implemented in production.
Research on sustainable strategies for waste reuse and resource optimization in industrial water treatment using neural networks and artificial intelligence.
Apps published on Google Play and desktop executables to facilitate operational plant management.
The Church of Jesus Christ of Latter-day Saints. Led a team of 50+ missionaries from different countries, supervising key mission performance indicators.
Open to opportunities in industrial production, process optimization and projects that combine chemical engineering with data and AI.