Open to opportunities

Carlos Montiel

@carlosmontiel

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Machine learning and data developer focused on automation and scalable AI solutions.

Ecuador

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What I'm looking for

I seek roles building scalable ML and automation solutions, working with cross-functional teams, and opportunities to apply predictive modeling and cloud deployment to drive business impact.

I am a computer scientist and M.Sc. candidate in Artificial Intelligence and Machine Learning with experience building ML models, automation pipelines, and full-stack applications.

In industry roles I designed automation solutions that cut manual reporting by 80%, integrated AI into reporting pipelines, and developed dashboards with Streamlit and Power Apps to deliver real-time insights.

I have built end-to-end systems using Python (FastAPI), React, MongoDB, AWS, Terraform, and Google Cloud, and applied XGBoost, LSTM, PCA and t-SNE for predictive and exploratory tasks.

I am a founding member of my university IEEE Computer Society branch, a volunteer educator, and a Magna Cum Laude graduate who brings cross-disciplinary strengths in economics, statistics, and applied machine learning.

Experience

Work history, roles, and key accomplishments

Current

Data Developer

Current

Worldpanel

Jun 2024 - Present (1 year 8 months)

Designed and implemented automation solutions and dashboards that reduced manual reporting effort by 80% and integrated AI models into reporting pipelines to improve stakeholder decision-making.

Python Streamlit Integrating AI Models Automation Reporting Power Automate Data Pipelines

Software Developer

ioet

Jan 2024 - May 2024 (4 months)

Developed a full-stack HR management application using FastAPI, React, and MongoDB, and deployed secure infrastructure on AWS using Terraform while collaborating in an agile team.

Python fastAPI React MongoDB AWS Terraform Full Stack Agile

Data Scientist

Cmpc

Apr 2023 - Sep 2023 (5 months)

Built predictive models for environmental compliance (TRS gas levels) using XGBoost and LSTM, and implemented scalable solutions on Vertex AI and Google Cloud to deliver actionable insights.

XGBoost T SNE Vertex AI Google Cloud Data Analysis

D&I Developer

Schlumberger

Jun 2022 - Dec 2022 (6 months)

Led design of a JIT pipeline purchase application and automated data management with Power Apps and Power Automate, reducing operational inefficiencies and improving coordination.

Power Automate Automation Workflow Optimization Application Design Data Management

Education

Degrees, certifications, and relevant coursework

Universidad San Francisco de Quito

Master of Science, Artificial Intelligence and Machine Learning

M.Sc. in Artificial Intelligence and Machine Learning expected Jan 2025 at Universidad San Francisco de Quito.

Universidad San Francisco de Quito

Bachelor of Engineering, Computer Science

2019 - 2024

Grade: 3.81/4.0

Activities and societies: Founding Member, IEEE Computer Society – USFQ Branch; additional coursework in Macroeconomics, Machine Learning, Statistics

Bachelor of Engineering in Computer Science completed with a 3.81/4.0 GPA, Magna Cum Laude and Dean's List recognitions.

Colegio Alemán de Quito

High School Diploma, High School

2003 - 2017

High School Diploma obtained at Colegio Alemán de Quito.

Johannes Gutenberg University Mainz

Studienkolleg – T-Kurs (Feststellungsprüfung), Preparatory Studies (Mathematics/Computer Science/Physics)

2018 - 2019

Studienkolleg T-Kurs with focus on Mathematics, Computer Science, and Physics culminating in the Feststellungsprüfung (German university qualification diploma).