Machine Learning Engineer

Building applied ML systems that move from research to production.

I work across forecasting, NLP, agentic workflows, and production ML infrastructure.

Colombia Agentic AI, FastAPI, PyTorch, AWS, Docker
6 Years working in the software industry
3 Core tracks: product, research, NLP
7 Projects in this portfolio
Portrait of Camilo Gomez
/ml-engineer forecasting + NLP + infra

Experience

Applied ML, product engineering, and research.

Production forecasting, research-grade neural networks, and NLP systems built for real workflows.

Machine Learning Engineer

Current role

April 2023 - Present

Colombia

  • Working with agentic AI and LLM pipelines for internal workflows.
  • Contributed to forecasting-oriented work, including event prediction and deployment.
  • Built and deployed ML services with FastAPI on AWS using Docker and SQL-backed workflows.
Python FastAPI AWS SageMaker MLflow Docker

Machine Learning Researcher

University of Toronto

May 2022 - August 2022

Toronto, ON

  • Simulated crystal structures in PyTorch with Crystal Graph Convolutional Neural Networks to support new materials discovery.
  • Ran neural network pipelines on cloud clusters with large crystallography datasets and contributed to a research paper.
  • Investigated datasets such as Materials Project to understand structure-property relationships in materials science.
PyTorch CGCNN Compute Canada Materials Project Research

Software Engineer

Guane Enterprises

May 2020 - April 2023

Colombia

  • Built an AI workflow to extract pricing data from documents with Python, Pandas, and ML tooling, reducing manual effort for a large logistics company.
  • Implemented NLP extraction pipelines, including named entity recognition, and exposed them as FastAPI services.
  • Deployed APIs with Docker and Kubernetes and collaborated with clients in the United States.
Python Pandas NLP FastAPI Kubernetes Docker

Engineering Intern

Guane Enterprises

February 2020 - May 2020

  • Deployed microservices to Google Cloud Platform and improved Python services with FastAPI.
  • Used Docker to create and package containerized applications.

Portfolio

Selected builds across RAG, simulation, generative systems, and game AI.

ML prototypes, technical builds, and experiments that show how I think end to end.

Preview for Smart Tetris

Game Intelligence

Smart Tetris

Game AI project exploring automated decision-making inside a classic Tetris environment.

Game AI Search Heuristics Java
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Preview for RAG Transito

Retrieval + LLMs

RAG Transito

Retrieval-augmented assistant work focused on LLM orchestration for answering questions about traffic laws.

RAG LLMs FastAPI Multi-Query
View repository
Preview for Camilo Gomez YouTube channel

Channel

YouTube

Videos on machine learning, software builds, and technical experiments.

YouTube Technical Content ML AI
Visit channel
Preview for Physics Lab

Interactive Simulation

Physics Lab

Interactive web project for physics exploration and visual, hands-on experimentation.

Simulation Visualization Education Web
Preview for Deep Genetic Snake

Neuroevolution

Deep Genetic Snake

Experimental game-agent work around evolving behavior in a snake environment.

Agents Evolution ML Experiments Games
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Preview for NFTs Images Generator

Generative Pipeline

NFTs Images Generator

Full-stack experiment that periodically generates new visuals and publishes them through a frontend and backend workflow.

Automation Frontend Backend Generative Systems
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Education

Formal training in physics, software, and applied AI.

The academic base is physics, but the practical emphasis has been machine learning, software engineering, experimentation, and technical communication.

Degree

BSc in Physics

Universidad de Antioquia

2024

Thesis: Applying Transformers to Naval Route Prediction.

Awarded Academic Honors three times for the highest semester GPA in my cohort.

Relevant Coursework

Deep Learning and AI Statistical Learning Data Mining Software Engineering Scientific Research Computational Physics I and II Linear Algebra Multivariable Calculus Differential Equations

Additional Learning

  • Deep Learning Specialization, Coursera (January 2020)
  • Building Generative AI Applications with Amazon Bedrock
  • Amazon DynamoDB for Serverless Architectures

Recognition

  • 2016 Iberoamerican Physics Olympiad Bronze Medal
  • International Physicists' Tournament (IPT) 2019, College Round Winner