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Jhon Fredy Correa Gomez

@jhonflook

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Machine learning engineer specialized in predictive modeling, generative AI, and optimization.

Colombia

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What I'm looking for

I seek roles building production ML/AI systems where I can lead technical design, mentor teams, and deliver scalable, high-impact solutions.

I am a machine learning engineer with 4+ years designing, training, and deploying ML models and AI systems across logistics, energy, retail, and finance. I specialize in predictive modeling, generative AI engineering, and mathematical optimization, delivering production-ready solutions and measurable impact.

I have led and mentored multidisciplinary teams of 4–12 people using agile (Scrum) practices, built scalable architectures for agentic multi-agent workflows, and implemented MLOps pipelines using tools like MLflow, Docker, Kubernetes, Vertex AI, and FastAPI.

Notable achievements include deploying meteorological-based failure prediction for electrical grids (identifying future grid failures in 36% of cases), an 80% risk reduction for an unsupervised credit scoring model, a 90% reduction in quotation processing time via optimization and probability models, and routing/dispatch optimization improvements using PYOMO and GAMS.

Experience

Work history, roles, and key accomplishments

Current

Professor - Data Science

Current

Universidad de Antioquia

Aug 2025 - Present (5 months)

Designed and delivered data science and machine learning coursework, supervised projects and labs, and guided students in practical application of ML techniques and tools.

Teaching Curriculum Design Machine Learning Python Jupyter Project supervision Évaluation

Current

Data Scientist Team Leader

Current

Guane Emerging Technologies

Jul 2023 - Present (2 years 6 months)

Led Data Science projects and a team using Scrum to design and deploy production AI solutions, extracting key information with multimodal LLMs and delivering ML-driven grid-failure predictions that identified 36% of future failures.

Machine Learning Generative AI Vertex AI fastAPI Docker Kubernetes MLFlow Pyomo Optimization

Data Scientist

Guane Emerging Technologies

May 2022 - Jul 2023 (1 year 2 months)

Developed and deployed statistical learning and optimization solutions for clients, including an unsupervised credit-scoring model reducing default risk by 80% and a quotation automation system that cut processing time by 90%.

Statistical Modeling Clustering SQL Pyspark ETL

Data Scientist Jr

Guane Emerging Technologies

May 2021 - May 2022 (1 year)

Trained and deployed machine learning models to predict freight prices for US and Canada markets, reducing pricing uncertainty by 95% and performing hypothesis validation via statistical testing.

Python scikit learn Time Series Hypothesis Testing Pandas MLFlow

Education

Degrees, certifications, and relevant coursework

Universidad de Antioquia

Bachelor's in Economics, Economics

Grade: 4.6 (Project GPA)

Bachelor's in Economics graduated with honors; final project applied statistical learning to identify causes of deterioration in university class quality during the pandemic.