Freelancer profile translated to English.
Back to original languageAbout Diego
Portfolio : dagudelo.dev
MLOps-oriented Machine Learning Engineer, I design artificial intelligence models, reproducible data pipelines, and deployable solutions with Python, PyTorch, Docker, MLflow, and FastAPI.
My engineering background allows me to approach problems with method, rigor, and particular attention to data quality, traceability, and solution maintainability.
I can be involved in:
- Developing Machine Learning and Deep Learning models;
- Data preparation, analysis, and transformation;
- Creating reproducible training pipelines;
- Deploying models as APIs;
- Containerization and automation with Docker;
- Experiment tracking with MLflow;
- Prototyping solutions based on LLMs and AI agents.
As Director of the AI Lab at 42AI, I also participate in the framing, organization, and monitoring of projects in Machine Learning, MLOps, and artificial intelligence.
French
Native or bilingual
Spanish
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- 42AIDirector of the AI LabTECHJanuary 2026 - Today (7 months)Paris, FranceDirection and coordination of the 42AI AI Lab, a space dedicated to experimentation and development of artificial intelligence projects.
- Supervision, prioritization, and monitoring of projects in Machine Learning, MLOps, AI agents, and LLMs.
- Technical support for teams: mentoring, code reviews, and unblocking issues.
- Implementation of roadmaps, tracking methods, and reproducible project architectures.
- Organization of participant recruitment and onboarding.
- Direct technical contribution to several artificial intelligence projects.
- Egis Rail via EuroétudesWorks Engineer MOE – EOLE ProjectCIVIL ENGINEERINGApril 2023 - August 2023 (4 months)Paris, FranceMission carried out for Egis Rail as part of the EOLE project (RER E), involving work in a complex railway environment.
- Coordination of companies, subcontractors, and various project stakeholders.
- Monitoring of operations and quality control of the work performed.
- Identification and resolution of anomalies and non-conformities.
- Participation in coordination and progress monitoring meetings.
- Production of reports and traceability documents.
- Verification of compliance with technical requirements, methods, and procedures.
- Sixense GroupDesign EngineerCIVIL ENGINEERINGMarch 2020 - April 2021 (1 year and 1 month)Nanterre, FranceMissions of analysis and technical diagnosis on civil engineering structures, involving collection, structuring, and interpretation of data from inspections and tests.
- Analysis of field data, test results, and technical measurements.
- Performance of structural diagnostics and risk assessments.
- Identification of anomalies and proposal of rehabilitation or monitoring solutions.
- Drafting of technical reports and decision-making summaries.
- Coordination with field teams, laboratories, and technical experts.
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Education
- IT Architecture Expert - Data & Artificial Intelligence42 Paris2026Machine Learning, Deep Learning, architecture des données, bases de données, algorithmique, développement backend/frontend, systèmes, C, C++, Python, SQL, Cloud, Docker, Kubernets et projets collaboratifs.
- Master of Science - Inspection, Maintenance, and Rehabilitation of StructuresUniversity of Limoges2020Diagnostic des structures, analyse de données techniques, pathologie des matériaux, maintenance, réhabilitation, évaluation des risques et aide à la décision.
Certifications
- Machine Learning SpecializationStanford University & DeepLearning.AI2025
- CS50x: Introduction to Computer ScienceHarvard University2023