Marcel Caraciolo
Chief Technology Officer at Neogenomica
Pernambuco, Brazil
Summary
👤
Senior🎓
Top SchoolMarcel Caraciolo is a seasoned technology executive and entrepreneur with 17 years of experience building digital products across healthcare, biotech, education and sports. As a multi-time founder and former CTO of Genomika—now part of Hospital Israelita Albert Einstein—he led a 10x revenue growth, national expansion and a strategic acquisition while scaling engineering, bioinformatics and lab operations. He blends hands-on Python development and open-source contributions (including recommender-system work on the muricoca/crab project) with senior leadership of 20+ person cross-functional teams and end-to-end product P&L responsibility. His recent roles have focused on cloud, data and infrastructure consolidation for genomics ventures, including large-scale AWS migrations and federated data integrations between healthcare organizations. Marcel pairs agile product strategy and DevOps discipline with practical bioinformatics automation, making him equally at home in clinical labs and backend systems. Outside work he recharges with family time, running (marathon training) and an impressive LEGO habit—small-scale engineering that mirrors his attention to detail.
17 years of coding experience
15 years of employment as a software developer
Bachelor of Engineering - BE (Graduação), Computer Engineering, Bachelor of Engineering - BE (Graduação), Computer Engineering at Universidade de PernambucoSpecialization (Pós Graduação), Gestão Ágil de Projetos, Specialization (Pós Graduação), Gestão Ágil de Projetos at CESAR SchoolMaster of Business Administration - MBA, MBA em Tecnologia para Negócios: AI, Data Science e Big Data, Master of Business Administration - MBA, MBA em Tecnologia para Negócios: AI, Data Science e Big Data at Pontifícia Universidade Católica do Rio Grande do Sul
Portuguese, English, Spanish
Stackoverflow
1reputation
0reached
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Github Skills (6)
machine-learning10
recommendation-system10
python10
numpy9
data-structure7
data-structures7
Programming languages (10)
Github contributions (5)
muricoca/crab
Apr 2011 - Mar 2012
Crab is a flexible, fast recommender engine for Python that integrates classic information filtering recommendation algorithms in the world of scientific Python packages (numpy, scipy, matplotlib).
Role in this project:
Back-end Developer
Back-end DeveloperContributions:149 commits in 10 months
Contributions summary:Marcel primarily contributed to the implementation of a recommender system. The commits focused on setting up the foundation for a base recommender class, adding functionalities for score functions, and creating the base class for similarity. They also added a data model for storing preferences and implemented metrics for evaluating the recommendations. This work suggests the user was involved in the core development of the recommendation engine.
matplotlibnumpypythonrecommenderscipy
pugpe/pugpe_challenge
Feb 2011 - Oct 2012
Repositório dos Desafios Python Semanais da Comunidade Python
Contributions:34 commits in 1 year 8 months
python
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