Rodrigo Acosta

About

Machine Learning Engineer at Pento with strong coding skills, focused on building innovative solutions using generative AI for NLP. Experienced with both open-source and proprietary models, and always up-to-date with the latest tools. With a solid software background, leads end-to-end project development, from idea to deployment, ensuring fast and high-quality results.

Top skills

Verified by Pangea.ai due diligence

Top Skills	Current Usage	Seniority
Python	20%	3 years
PyTorch	20%	3 years
TensorFlow	20%	3 years
Docker	20%	3 years
AWS	20%	3 years

All skills

Roles and tools, to bring ideas to life and create meaningful experiences

Enterprise Software

Cloud Computing

Website Design

E-Commerce

API

Mobile Apps

Data Analytics and Visualization

Blockchain & Crypto

Social Networks

Architecture

Helpdesk Software

VR/AR Apps

CMS

Learning Management Systems (LMS)

Conversational AI

Professional experience

Explore a curated selection of projects highlighting Rodrigo Acosta's expertise and experience. Each project aims to showcase challenges, solutions, and the final outcome, along with the tools and technologies used.

Under MNDA

Digital Twin of Tobacco Primary Stage Production Line — ML Model design, implementation and integration

Design, development, and integration of a ML-based Digital Twin (DT) of the primary stage of the tobacco conditioning line at Montepaz. The primary goal was for the DT to seamlessly integrate with the legacy systems and provide accurate real-time predictions of tobacco QA KPIs based on the physical production line configurations.

AI & ML Solutions

Manufacturing & Materials

Backend Development

Big Data & Analytics

Data Visualization

Under MNDA

Image View Point Estimation — ML Model design and implementation

Develope a proof of concept (POC) of a system capable of estimating the position of the camera relative to the main object of an image. The expected output included both, the relative position in terms of angles and distance, as well as the its classification into a discrete subset of view points.

AI & ML Solutions

Information Technology

Big Data & Analytics

Backend Development

Digital Transformation

Under MNDA

ML-based Scorings for Sessions from Bio-signal Recordings. — Data analysis and design, and development of the ML models and pipelines.

Study the biosignals (EEG, PPG, etc) of individual users before, during, and after intensive cognitive-resilience training sessions to detect statistically relevant patterns and develope ML-based, user specific, scoring metrics.

I’m flexible

BioTech

Big Data & Analytics

Data Visualization

Digital Transformation

Preferred tools

View the preferred tools and apps used by Rodrigo Acosta to assess compatibility and alignment.

Asana

ClickUp

Discord

Github

Google Drive

Google Meet

Microsoft Teams

Notion

Skype

Slack

iCloud

Career highlights

Discover Rodrigo Acosta’s professional journey, including employment history, certifications, and educational background.

Machine Learning Engineer

Pento⸺2024 - Present

Created production-level AI agent applications for the Legal and Human Resources teams of an S&P400 company.

Researcher & Developer

Quantum - South⸺2022 - 2024

Quantum-South is a quantum computing software startup that works with complex optimization problems in cargo logistics. My job involved designing, modeling and developing cargo solutions for our clients. A fundamental part of my role is to communicate with clients in order to understand their needs and the practical complexities of the problem.

Teacher Assistant

Universidad de Montevideo⸺2019 - 2020

Geometry & Linear Algebra Calculus

ML Engineer

Universidad de Montevideo⸺2022 - 2024

I served as the ML expert on a team responsible for developing an ML-based digital twin for the conditioning process of tobacco components used in cigarettes produced by Montepaz. This project involved analyzing and preprocessing historical and real-time data, as well as implementing various ML models and techniques to accurately predict KPIs in real time.

Testimonials

ML Engineer @ Pento.ai

Pento.ai

Verified Testimonial

“Working with Rodrigo is always an excellent experience. He is methodical, highly organized, and consistently dives deep to truly understand and solve complex problems. His structured approach and attention to detail make him an outstanding Machine Learning Engineer and a reliable team member.“

Pento.ai

Top skills

About

Top skills

All skills

Professional experience

Preferred tools

Career highlights

Testimonials

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