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I’m a Data Scientist and Machine Learning Engineer focused on building production-grade ML/NLP/CV systems and research pipelines. I work across end-to-end data engineering, model development, and deployment—often combining learning-based methods with retrieval, reasoning, and automation. My experience spans geospatial analytics, fraud/AML graph-based detection, healthcare NLP (NER and clinical terminology), and agentic/multi-agent workflow design. I enjoy collaborating with clinicians and researchers to translate automated methods into practical decision support.…I’m a Data Scientist and Machine Learning Engineer focused on building production-grade ML/NLP/CV systems and research pipelines. I work across end-to-end data engineering, model development, and deployment—often combining learning-based methods with retrieval, reasoning, and automation. My experience spans geospatial analytics, fraud/AML graph-based detection, healthcare NLP (NER and clinical terminology), and agentic/multi-agent workflow design. I enjoy collaborating with clinicians and researchers to translate automated methods into practical decision support.

Jorge Felix Martínez

Data Scientist, AI Engineer, Data Engineer, +1

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I’m a Data Scientist and Machine Learning Engineer focused on building production-grade ML/NLP/CV systems and research pipelines. I work across end-to-end data engineering, model development, and deployment—often combining learning-based methods with retrieval, reasoning, and automation. My experience spans geospatial analytics, fraud/AML graph-based detection, healthcare NLP (NER and clinical terminology), and agentic/multi-agent workflow design. I enjoy collaborating with clinicians and researchers to translate automated methods into practical decision support.…I’m a Data Scientist and Machine Learning Engineer focused on building production-grade ML/NLP/CV systems and research pipelines. I work across end-to-end data engineering, model development, and deployment—often combining learning-based methods with retrieval, reasoning, and automation. My experience spans geospatial analytics, fraud/AML graph-based detection, healthcare NLP (NER and clinical terminology), and agentic/multi-agent workflow design. I enjoy collaborating with clinicians and researchers to translate automated methods into practical decision support.

Available to hire

I’m a Data Scientist and Machine Learning Engineer focused on building production-grade ML/NLP/CV systems and research pipelines. I work across end-to-end data engineering, model development, and deployment—often combining learning-based methods with retrieval, reasoning, and automation.

My experience spans geospatial analytics, fraud/AML graph-based detection, healthcare NLP (NER and clinical terminology), and agentic/multi-agent workflow design. I enjoy collaborating with clinicians and researchers to translate automated methods into practical decision support.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Spanish; Castilian

Fluent

English

Advanced

Work Experience

Visiting Researcher at Leipzig University

November 1, 2025 - December 1, 2025

Developed an end-to-end automated pipeline for subject-specific 3D reconstruction of shoulder anatomy from routine MRI data. Collaborated with clinicians to assess clinical applicability and limitations of automated anatomical reconstruction. Designed preprocessing and optimization workflows for patient-specific 3D models used in finite element simulations and biomechanical analysis.

Machine Learning Engineer at Peoplewalking

July 1, 2025 - Present

Architected and maintained communication and intelligence services for a maritime platform, building information extraction pipelines and agentic workflows for maritime operations. Engineered automated email pipelines using Google Workspace, integrating ML classifiers with rule-based processing to categorize messages and automate email workflows. Developed language processing algorithms and fine-tuned NER models for ATIC medical terminology to enable accurate clinical text analysis. Designed an end-to-end multi-agent system integrating medical knowledge sources and terminology for retrieval and reasoning tasks.

Data Scientist at Guotech

June 1, 2024 - July 1, 2025

Developed geospatial algorithms using H3 indexing and automated KPI pipelines to generate strategic insights for SMEs. Built scalable data pipelines and similarity search systems using Faiss and Milvus for large-scale analytics and efficient retrieval. Contributed to the architecture of an event-driven platform with 100+ microservices using NATS Streaming.

Financial Data Scientist at Novabank (Lussier Group)

May 1, 2023 - June 1, 2024

Built transactional simulation models to improve risk assessment and scenario analysis. Designed and deployed a Fraud and Anti-Money Laundering (FRAML) system combining graph analytics, rules, and ML to improve fraud detection accuracy. Worked with consultants to align compliance strategies with FinTrac regulations and industry standards.