Martin E. Quintero

AI Architect | Former CTO

Colombia | me@martinquintero.com | linkedin.com/in/martineliasq | github.com/martineliasq

Summary

AI Architect and former CTO with 7+ years building scalable cloud infrastructure and deploying production ML systems. Scaled engineering teams from 5 to 50+ across multi-cloud environments (AWS, GCP, Azure). Delivered AI solutions for 15+ enterprise clients in fintech, healthcare, and logistics. CNCF community leader and Certified Kubernetes Administrator.

Experience

AI Solutions Architect — Cuemby
March 2025 – Present

Pivoted from CTO to explore advanced cloud architecture at the intersection of AI and infrastructure. Building ML platforms for enterprise cloud adoption. Leading technical pre-sales for AI solutions across Latin America.

Chief Technology Officer — guane Enterprises
May 2018 – February 2025

Grew from Backend Developer to CTO. Scaled engineering team from 5 to 50+ engineers. Delivered AI solutions for 15+ enterprise clients across fintech, healthcare, retail, logistics, and government sectors. Built data pipelines processing millions of records using Apache Spark. Deployed computer vision models to production (TensorFlow, PyTorch). Architected multi-cloud infrastructure (AWS, GCP, Azure) with Kubernetes, implementing MLOps workflows using Kubeflow, MLflow, and Airflow.

Research Fellow — Universidad de Antioquia
March 2017 – August 2019

Engineered ETL pipelines for big data research projects. Administered Hadoop clusters with Cloudera Manager. Contributed to academic publications and mentored students in data engineering practices.

Education

Engineer's Degree, Systems Engineering — Universidad de Antioquia
2013 – 2020

Publications

Comparative Analysis of Deep Learning Techniques for Face Recognition in Open Scenarios 2020

Research on data augmentation techniques (GANs, VAEs) applied to CNN architectures for facial recognition. Demonstrated FaceNet with variational autoencoder achieved best performance while reducing overfitting on small datasets.

Technical Skills

Cloud & Infrastructure: AWS, GCP, Azure, Kubernetes, Docker, Terraform
AI & Machine Learning: TensorFlow, PyTorch, Computer Vision, Kubeflow, MLflow, Airflow
Data Engineering: Apache Spark, Hadoop, ETL Pipelines, PostgreSQL
Development: Python, Go, Linux, CI/CD

Certifications

Community

Community Leader — Cloud Native Medellín

Organizing meetups and technical talks for the local CNCF chapter. Building a community of cloud-native practitioners sharing knowledge on Kubernetes, observability, and platform engineering.

Projects

Hope Oriented Programming

Technical blog on system design philosophy—exploring how to build resilient systems that gracefully handle failure instead of assuming perfection.

Awards

Sembrador de Estrellas — Universidad de Antioquia
October 2022

Distinguished alumni recognition for outstanding professional trajectory and contributions to Systems Engineering. Awarded to top graduates demonstrating excellence in their field.

Talks

From Bare Metal to Cloud: Automate Your Infrastructure with MAAS and Harvester KCD Colombia 2025

Live demo on deploying and orchestrating physical servers as cloud-like resources using MAAS and Harvester. Covering edge computing, hybrid environments, and 100% open source infrastructure automation.

Optimizing AI and ML with Platform Engineering KubeDay Colombia 2024

Case study on leveraging platform engineering for AI/ML infrastructure. Strategies to avoid over-engineering while building efficient, agile, and scalable ML operations using cloud-native tools.

Cloud Cost Optimization to Reduce Carbon Footprint KCD Colombia 2023

Strategies and tools for reducing cloud resource consumption, optimizing costs, and minimizing environmental impact through sustainable infrastructure practices.

Languages

Spanish (Native) English (B2 - Working Proficiency)