ML/AI Engineer | MLOps | Model Deployment & Monitoring
Nicolas Guarin Gaviria
Building Production Machine Learning Systems
ML/AI Engineer | MLOps | Model Deployment & Monitoring
Building Production Machine Learning Systems
Discovery
3+ Years
Software & Data Engineering
Mechatronic Engineer
Bachelors Degree
I'm an ML/AI Engineer specializing in production machine learning systems.
My career started in Computer Vision and evolved through data analytics, and now focuses on the complete ML lifecycle: data pipelines, model deployment, monitoring, and cost optimization.
What sets me apart: Full-stack background (backend, cloud, infrastructure) gives me systems-thinking that most ML engineers lack. I don't just train models—I architect systems that serve them reliably at scale.
Real Estate Analyst Colombia demonstrates this: a production ML platform (Databricks Medallion architecture, XGBoost model, Streamlit frontend) running for 8+ months, processing thousands of listings daily, with automated retraining, monitoring, and sub-$1/month infrastructure.
Currently at Scotiabank doing data engineering. Available for MLOps / AI Engineer roles, 100% remote.
Expertise
Portfolio
End-to-end ML platform deployed to production for 8+ months, processing thousands of listings daily.
Tech Stack: RPA Scraping → Databricks Medallion → XGBoost Model → FastAPI REST API → Streamlit UI → GitHub Actions CI/CD (CloudWatch & MAPE tracking).
Reference implementation of modern data lakehouse patterns using Databricks and Spark.
Tech Stack: Databricks, PySpark, Python, SQL, Delta Lake, ETL/ELT pipelines.
Predictive risk modeling platform built on AWS for enterprise financial risk assessment.
Tech Stack: AWS SageMaker, S3, Lambda, ETL pipelines, Python.
Multi-source data crawler and analytics dashboard for automobile market price tracking.
Tech Stack: Playwright, Python, Pandas, Streamlit, web scraping automation.
Recognition
MinTIC Colombia / Universidad de Antioquia (159 Hours)
April 2025
Advanced-level bootcamp covering AI systems, machine learning, and production implementation. Backed by Colombia's Ministry of ICT and Universidad de Antioquia.
Verified Institutional Program
EPAM Campus
August 2025
Focus on engineering practices, Python, Kubernetes, containerization, and automation for enterprise systems.
Active Professional Specialization
Amazon Web Services (AWS)
Foundational cloud architecture concepts, key services (S3, EC2, Lambda, IAM), security, and cost optimization.
Active (Renewal in progress)
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