I build software at the intersection of medicine, data, automation and learning systems.
My work focuses on tools that make complex information easier to retrieve, structure and use: clinical decision support prototypes, oncology regulatory data, biomedical retrieval systems, medical education platforms, bioinformatics utilities and technical books for learning programming through biomedical problems.
mindmap
root((Martín Munive))
Medicine
Clinical reasoning
Oncology workflows
Pediatric triage
Medical education
Software
Python
JavaScript / Node.js
React / React Native
SQLite / PostgreSQL
RAG systems
Research
Bioinformatics
Scientific documentation
Data pipelines
Reproducible learning
Products
Apps
Books
Bots
Dashboards
Local tools
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Local Python system for consolidating oncology drug information in Colombia from INVIMA, UNIRS, POS Populi and curated manual profiles.
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Experimental Retrieval-Augmented Generation prototype for exploring clinical documents and oncology guidelines with traceable retrieved context.
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Bioinformatics utility for NCBI protein sequence retrieval and motif filtering. Proteios v1.0 was used in published neuropeptide evolution research.
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Web book about Python algorithms, data structures and computational thinking through biomedical and life-science problems.
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Clinical software concept for pediatric triage and management based on AIEPI workflows, semaphorized risk classification and structured clinical logic.
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Medical education and evaluation system for clinical reasoning, distractor logic, structured feedback and specialty-based learning.
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| Area | What I build | Representative repositories |
|---|---|---|
| Clinical systems | Local tools, oncology data, pediatric triage, medical education | INVIMA, AIEPI, SIFCEM |
| AI / retrieval | RAG prototypes and document exploration for biomedical material | RAG Medicina Oncologica |
| Bioinformatics | Protein sequence retrieval, motif filtering and scientific software documentation | Proteios, NCBI-Proteios legacy |
| Books and education | Technical books with biomedical examples and progressive computational thinking | Materia Medica Digitalis, Python por Fragmentos |
| Automation and bots | Community automation, message routing and operational utilities | DISCORD Channels Bot |
| Data analysis | Forecasting, reproducible pipelines and exploratory dashboards | MATER LOTTO, Gastos Diarios |
medicine -> clinical reasoning, oncology, pediatric triage, medical education
software -> Python, JavaScript, local-first tools, data systems, automation
AI systems -> RAG, retrieval, document workflows, evaluation-aware prototypes
publishing -> web books, scientific documentation, technical learning paths
research tools -> bioinformatics utilities and reproducible computational workflows
Proteios v1.0 was used in published neuropeptide evolution research:
Cadena-Caballero, C. E., Munive-Arguelles, N., Vera-Cala, L. M., et al. APGW/AKH Precursor from Rotifer Brachionus plicatilis and the DNA Loss Model Explain Evolutionary Trends of the Neuropeptide LWamide, APGWamide, RPCH, AKH, ACP, CRZ, and GnRH Families. Journal of Molecular Evolution 91, 882-896 (2023).
- DOI: https://doi.org/10.1007/s00239-023-10146-9
- PubMed: https://pubmed.ncbi.nlm.nih.gov/38102415/
- Repository: https://github.com/Martin-Munive/NCBI-Web-Crawler-Proteios
I like building systems that are:
- clinically meaningful;
- technically inspectable;
- local-first when privacy or reproducibility matters;
- honest about their current stage;
- useful for learning, research or decision support without replacing expert judgment.