Camilo Andrés Cáceres Flórez

Camilo Andrés Cáceres Flórez

Staff ML Engineer (Applied AI), Data Science Expert, and AI Architect leading GenAI, data science, and MLOps at scale. Ph.D. in Mechanical Engineering (Mechatronics) from UNICAMP and EMBA in Strategic Leadership, with experience driving end-to-end ML platforms, computer vision, and data science initiatives.

Background

This extended biography captures the path from early robotics work to production ML, causal ads measurement, and GenAI systems.

Early research and robotics

  • Ph.D. and M.Eng. in Mechanical Engineering (Mechatronics), University of Campinas (UNICAMP). Research mixed robotics, signal processing, and control.
  • Visiting Ph.D. student at École Centrale de Paris; explored perception and control for autonomous platforms.
  • Project highlights: EEG-driven assistive domotics, PLC-driven automation labs, and robotics simulations combining computer vision and optimization.

Professional journey

  • Machine Learning Engineer (Independent, 2020–2024): Delivered computer vision and deep learning projects end-to-end; built reproducible pipelines, CI/CD for models, and monitoring baselines.
  • Data Scientist & ML Engineer roles (2012–2019): Served at DANE and Spectra Ingeniería, producing forecasting, modeling, and analytics deliverables under strict regulatory constraints.
  • Academic contributions: Teaching assistantships, publications, and conference presentations; see the publications and talks sections for details.

Skills snapshot

  • Modeling: Causal inference, deep learning, graph neural networks, recommendation systems, and uplift modeling.
  • Platforms: ML architecture, feature stores, CI/CD/CT for ML, observability, and runtime quality.
  • Languages & tools: Python, TensorFlow, PyTorch, sklearn, MATLAB/Simulink; production delivery with Docker, Airflow, and cloud-native stacks.
  • Languages: Spanish (native), Portuguese (professional), English (professional).

Education and certifications

  • EMBA (Strategic Leadership), Valar Institute.
  • Ph.D. Mechanical Engineering (Mechatronics), UNICAMP.
  • M.Eng. Mechanical Engineering (Mechatronics), UNICAMP.
  • B.S. Mechatronics Engineering, Military University Nueva Granada.
  • Additional coursework: Deep Learning Specialization, MLOps specializations, SQL and big data foundations, and GenAI deployment courses.

For a concise executive summary, see the About page. For project outcomes, visit the case studies page.

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