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Camilo Andres Caceres Florez

Camilo Andres Caceres Florez

Engineering Manager

Mercado Libre | Colombia

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Course

Introduction to Python

Insights curator, carefully selecting and presenting the most valuable knowledge.

My Work

Take a look at my latest work.

course

Understanding ChatGPT

course

Introduction to Python

course

Intermediate Python

course

Understanding ChatGPT

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

Courses

Introduction to Python
Intermediate Python
Understanding Cloud Computing
Understanding Data Engineering

My Work Experience

Where I've interned and worked during my career.

AB InBev | Jan 2025 - Present

Data Manager — Principal Data Scientist & ML Engineer

- Established ML architecture standards, code quality practices, and model governance across 3+ DS/ML squads - Mentored 10+ mid- to senior-level engineers on advanced modeling, scalable deployments, and career development - Spearheaded technical decision-making for end-to-end data and ML pipelines - Designed and led 3 hands-on DS/ML workshops for 40+ technical stakeholders - Led production deployment of Graph Neural Networks on Databricks + MLflow, driving up to a lift in key business metrics Control structure for a car-like robot using artificial neural networks and genetic algorithms - Guided senior data scientists through complex feature engineering by creating and sharing targeted code examples, driving significant improvements in readability, maintainability, extensibility, and runtime performance - Designed and prepared executive-level presentation materials (slide decks, code demos, and reference docs) for briefings with VPs and Senior Directors, clearly articulating technical roadmaps and business impact
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AB InBev | Feb 2024 - Jan 2025

Principal Machine Learning Scientist/Engineer

- Led the implementation of SOTA (State Of The Art) machine learning models to improve current ML model performance for Commercial Initiatives. - Led 32 Analytical Experiments with a successful + conclusive rate of +50%. - Team coaching and mentoring based on technical leadership and soft skills improvement. - Adaptive Servant-leader leadership style. - Business Stakeholder Alignment and Communication. - Improved and led initiatives to improve ML products with better models and approaches, adding alternative data sources, best practices, CI/CD/CT, git, MLOps framework, observability/monitoring, lean culture, and internal guidelines. - Extrapolate SOTA ML models to multiple markets and lead a Knowledge Transfer with Local teams. - Developed, Tested, and Deployed Graph Neural Networks Algorithms as a Recommendation System. - Led GPU-based infrastructure allocation maintenance and usage for Deep Learning Models (Pytorch). - Technical leadership in topics related to Graph Neural Networks, Generative AI, LLMs, VLMs, and Image Generation to set products and guide strategic decisions aligned with technical requirements and business needs. - Led, developed, and deployed two (2) new products for the Generative AI pillar with positive business impact. - Led internal research and implementation team related to ML and GenAI areas. - Led repository maintenance, deployment strategies, and usage. - Strategic Leadership & Business Stakeholder Management.

AB InBev | Mar 2023 - Feb 2024

Principal MLOps/ML Engineer

Learning-based product evolution for Commercial initiatives. - Team coaching and mentoring based on technical leadership and soft skills improvement. - Transformational/ Servant-leader leadership style. - Improved and led initiatives to improve ML products with software strategies, best practices, CI/CD/CT, reusable components, observability/monitoring, developer culture, and internal guidelines. - Led and guided reusable components development and implementation. - Guide strategies to re-deploy and adapt ML products in multiple markets. - Led cost improvement for ML pipelines and systems. - Technical leadership to align product decisions and technical requirements, bringing flexibility and robustness to the upcoming features. - Led internal tools to measure and validate an ML product maturity based on the industry's best practices. - Led data migration processes and operations alignments (from the ML side). - Led repository maintenance, deployment strategies, and cost optimization. - Support global initiatives for ML related to platform decisions and architecture for ML and LLM-based projects. - Zone/global leadership in best practices implementation, guidelines, and upskilling workshops (coding, CI/CD & git).

AB InBev | Jan 2022 - Mar 2023

Sr MLOps Engineer

- Recommender system evolution as software and maintainable ML system with software strategies, best practices, CI/CD, reusable components, developer culture, and internal guidelines. - Led a full product technical re-design, plan, and execution; optimizing reusable components and distributed computing. - Fast product re-deployment in 4 different markets. - Development and deployment costs improved by 50%. - Technical leadership to align product decisions and technical requirements bringing flexibility and robustness to the upcoming features. - Automated the operation failure support to 90%, increasing product availability to 97%. - Led data migration processes and operations alignments (from the ML side). - Led repository maintenance, deployment strategies, and cost optimization. - Zone leadership in best practices implementation, guidelines, and upskilling workshops (coding, CI/CD & git).

Departamento Administrativo Nacional de Estadística - DANE

N/A

Colombia | Jul 2021 - Dec 2021

Data Scientist

- Led 8 (in support) data analytics projects support with national impact with a team of 4 people. - Led a local data lake's usage, policies, maintenance, and procedures. - Data lake adoption leader. - Technical consultant in data usage, analytics, machine learning, and development technologies. - Led and apply strict data. Governance of sensitive data using internal policies and procedures. - Provided technical concepts and discussion regarding the multiple cloud system public contract offers. - Administrative tasks regarding budget and technical execution plans for 2022. - Technical recommendations and consultancy to other areas (representing the TI area: data science/analytics/ml expertise). - Led and supervised the execution of UN international funds in data upskilling and best practices adoption (Spark and distributed computing). - Preparation of evidence for sensitive data management auditory.

Spectra Ingeniería Ltda | Oct 2020 - Dec 2021

Machine Learning Engineer/Developer

Machine Learning Engineer for computer vision applications using:Led, develop and deployed 3 MVPs products: - Live video security alarms/alerts and analytics - Live video identification and tracking - Retail stores analytics My role was leading and involved with the end-to-end of each, leading the technical implementation [algorithms, model development-training- labeling, software, infrastructure and deployment], costs and business case. Led 1 developer. The potential market of the products in the MVP versions were around 100k-500k USD/year.

Universidade Estadual de Campinas | Jul 2014 - Oct 2020

Researcher

N/A

Ecole Centrale de Paris | Apr 2019 - Jun 2019

Visiting PHD Student

Optimisation d'un système dynamique hybride de génération et production décentralisée de l'énergie pour une ville intelligente basé sur l'utilisation de sources d'énergie renouvelables - Utilisation, analyse e application de bases de données e techniques de intelligente artificiel.

Universidad Militar Nueva Granada | Feb 2014 - Jul 2014

Asistente de Investigación

Desarrollo de proyectos de iniciación científica tales como: " Sistema de Monitoreo perimetral para bases militares", " Prototipo para el monitoreo y control de plagas en cultivos agrícolas a través del procesamiento de imagen", " Implementación de un Sensor de Electroencefalograma (EEG) en aplicaciones Domóticas", entre otros.

My Education

Take a look at my formal education

Executive MBA Valar Institute | 2026
Doctor of Philosophy (PhD), Mechanical engineering - MechatronicsUniversidade Estadual de Campinas | 2020
Master of Engineering (MEng), Mechanical EngineeringUniversidade Estadual de Campinas | 2016
Ingeniero en mecatrónica, Ingeniería MecatrónicaUniversidad Militar Nueva Granada | 2014

About Me

Camilo Andres Caceres Florez

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