À propos de Alexandre
- 👥 Renforcement & recrutement: constitution d’équipes techniques qualifiées et adaptées.
- 📆 Pilotage agile: gestion des sprints, des estimations, et du backlog avec une approche structurée.
- 🔧 Choix de technologies & APIs: sélection des meilleures solutions open-source et tierces pour vos besoins spécifiques.
- 🛠 Mise en place des fondations: intégration des meilleures pratiques (linters, Gitflow) et gestion de la qualité du code.
- ☁️ Architectures cloud: conception et déploiement d'architectures cloud robustes avec CD et Infrastructure as Code.
- 📊 Monitoring & qualité: mise en place de tests CI/CD, suivi des performances et observabilité sur AI, RAG, LLM.
- 🖥 Langages: GraphQL, RESTful, JavaScript, TypeScript, Node.js, Go, Python
- ☁️ Cloud & DevOps: Docker, Kubernetes, AWS, GCP, Azure, Terraform, Serverless
- 💾 Bases de données: MySQL, PostgreSQL, Mongo, DynamoDB, ElasticSearch
- ⚙️ Frameworks: React.js, Nest.js, FastAPI, Angular.js, Vue.js, Echo (Go)
- 🧪 Tests & Qualité: Cypress, Jest, Mocha, k6
- 📊 Data Engineering: LLM, GenAI, Machine Learning, Spark MLlib, TensorFlow, NLP, Spacy, RAG
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Espagnol
Capacité professionnelle limitée
Expériences
- SanofiLead AI EngineerINDUSTRIE PHARMACEUTIQUEoctobre 2023 - Aujourd'hui (2 ans et 8 mois)Paris, FranceDesigned and delivered a global Generative AI platform, on top of Veeva DAM, supporting automated content creation, localization, pre medical legal and regulatory review. Led a team of 5 engineers.Key Responsibilities:- Architected a multi-cloud GenAI platform (AWS & Azure)- Integrated multiple LLMs and generative models- Built advanced RAG pipelines and document extraction workflows- Designed scalable APIs and orchestration services in Node & Python- Defined security, performance, and observability standardsKey Achievements:- Reduced content production time by 65%- Processed 5,000+ documents per month- Supported 8+ markets- Achieved real-time asset generation latency under 20 seconds
- VeepeeLead AI EngineerE-COMMERCEoctobre 2022 - octobre 2023 (1 an)ParisDeveloped an AI-powered Product Information Management system with automated content generation and product similarity detection.Key Achievements:- Managed 10M+ SKUs- Generated product descriptions in 15 languages- Reduced onboarding time by 71%- Achieved 92% accuracy in duplicate detection
- VINCILead Software and Data EngineerRESSOURCES HUMAINESseptembre 2018 - novembre 2022 (4 ans et 2 mois)Saint-Ouen, FranceBuilt a long-term HR intelligence platform for skills extraction, employee matching, and training recommendations.Key Achievements:- Matched 80,000+ employees to training programs throughout all of Vinci's subsidiaries- Reduced skills gap analysis time by 70%- Processed 50,000+ CVs per month- Achieved sub-200 ms response times- Reduced recruitment time by 40%
Avis
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Formations
- Master Big Data & Stratégie DigitaleHETIC2018Pursued specialized master's program to gain hands-on expertise in data science, machine learning, and big data technologies—complementing my engineering background with practical skills directly applicable to my BI and marketing analytics work at Rocket Internet.
Certifications
- Node.js Certified DeveloperNodeJS Foundation2016
- Professional Data EngineerGoogle Cloud Certified2018