Freelancer profile translated to English.
Back to original languageAbout Daniel
Expert Python | Data | AI | PMO
Looking to harness the full potential of your data?
I can help you implement tailor-made data & AI solutions capable of transforming your raw data into actionable insights to boost your performance.
With dual technical (Python, AI, SQL, APIs) and organizational (PMO, data project management) expertise, I can handle your needs from start to finish: scoping, development, automation, and monitoring.
Data & Artificial Intelligence
- Development of Python algorithms for analysis, prediction, and automation.
- Integration of Machine Learning and Deep Learning models
- Anomaly detection, business process optimization, and AI-powered decision support.
- Data Management & Governance
- Structuring and modeling of SQL databases.
- Design of clear and actionable dashboards for real-time monitoring.
- Implementation of Data Management solutions: governance, data quality, workflow automation.
- Optimization of SQL queries to improve performance and reliability.
APIs & Integrations
- Development and integration of APIs to connect your systems and automate your workflows.
- Creation of connectors between business tools (CRM, ERP, web platforms).
- Securing data exchanges and implementing scalable solutions.
PMO & Project Management
- Support in Data/AI project management, from scoping to deployment.
- Facilitation of business workshops to align business needs and technical solutions.
- Clear reporting and KPI tracking to ensure objectives are met.
- Coordination of technical and business teams to streamline collaboration.
- Training and upskilling of your teams
If you want to make your data a true performance lever, let's discuss your needs!
French
Native or bilingual
English
Native or bilingual
German
Conversational
Remote only
Primarily works remotely
Experience
- Kedma
On Malt
AI ConsultingTECHAugust 2025 - August 2025Paris, FranceAI Consultant – LLM Strategy & ScopingAssisting companies in identifying and scoping AI use cases, with a focus on simple, low-cost, and rapidly deployable solutions. Defining target architectures (LLM, RAG, automation) and recommending integration with proven stacks like FastAPI.Implementing KPIs and feedback loops to monitor model performance and ensure long-term value creation.Impact:- Prioritization of quick ROI use cases
- Reduction of risks and costs before implementation
- Structuring of an AI approach driven by measurement
- European Space AgencyAI/ML Project ManagementAVIATION AND AEROSPACESeptember 2024 - Today (1 year and 9 months)Luxembourg, LuxembourgLead Python & AI Engineer – GRAM-AI (FEA-based optimization platform)Design and development of an AI-driven mechanical structure optimization platform based on Finite Element Analysis (FEA). Architecture of a complete system integrating simulation workflows, optimization algorithms (Genetic Algorithms & Reinforcement Learning), and scalable backend services.Definition of an AI architecture adapted to industrial constraints, combining rapid FEA and surrogate models to optimize the precision/computation time/cost trade-off. Implementation of an API-first architecture with FastAPI to facilitate integration with business tools and existing systems.Design and implementation of FEA-based KPIs (stiffness, buckling, modal behavior, feasibility criteria) used both as objective functions for the algorithms and as performance indicators for business monitoring.Ensuring robustness and maintainability through solid engineering practices (CI/CD, code quality, reliability), with a focus on concrete industrial use cases.Impact:
- Structuring engineering decisions through measurable KPIs from FEA
- Reduction of design cycles through optimization automation
- Implementation of a scalable foundation for AI-assisted engineering
Main Stack: Python, FEA, optimization, API, CI/CD, data engineering, software architecture - Gradel Light WeightChief Technology OfficerAVIATION AND AEROSPACESeptember 2024 - Today (1 year and 9 months)Luxembourg
- Creation of an IT department from scratch, with remote and on-site teams
- Coaching 6 junior profiles in adopting advancedPythondevelopment practices
- Collection and storage of robot logs in a database viaMQTT
- Setup of a cutting-edge software development environment andCI/CDpipelines on Bitbucket
- Coordination of 12 people spread across 8 time zones
- Management of an AI project for theEuropean Space Agency
Reviews
Emmanuel
Kedma
Reviewed on 8/29/2025
Very satisfied with Daniel's work. I recommend him.
Recommendations
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Education
- — Machine LearningStanford University2020— Machine Learning
- Doctor of PhilosophyUniversity of Strasbourg - ICube LaboratoryPhD
Certifications
- Codility Sliver AwardCodility Silver Award for the Palladium 2020 Challenge2020
- Machine LearningStanford University2020