À propos de Salmane
𝗦𝗲𝗻𝗶𝗼𝗿 𝗚𝗖𝗣 𝗚𝗲𝗻 𝗔𝗜 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁 specializing in end-to-end data platforms and production-grade (𝗔𝗴𝗲𝗻𝘁𝗶𝗰) 𝗔𝗜 systems. I design scalable, secure architectures aligned with the 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗪𝗲𝗹𝗹-𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝗲𝗱 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 (𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆, 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗖𝗼𝘀𝘁 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻), leveraging MLOps and multi-agent orchestration for autonomous decision-making.
Dedicated to cultivating a culture of knowledge sharing and engineering compliant, industry-standard solutions. My focus is on unlocking tangible value—transforming complex AI capabilities into measurable efficiency and competitive advantage.
Français
Bilingue ou natif
Anglais
Bilingue ou natif
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- ServierGCP Data & AI ArchiectINDUSTRIE PHARMACEUTIQUEfévrier 2025 - Aujourd'hui (1 an et 4 mois)Suresnes, France𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗩𝗶𝘀𝗶𝗼𝗻 & 𝗖𝗹𝗼𝘂𝗱 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 (𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗹𝗼𝘂𝗱 𝗣𝗮𝗿𝘁𝗻𝗲𝗿𝘀𝗵𝗶𝗽)𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗨𝗿𝗯𝗮𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Defined the roadmap and architectural blueprints for Group-wide Agentic AI workflows.𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗔𝗜 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀: Implemented Apigee as an AI Gateway, structuring governance across four critical pillars:• 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲: Established LLMOps, AIOps, and APIOps frameworks.• 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 & 𝗖𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝗰𝗲: Designed ACL policies and advanced security protocols for AI APIs.• 𝗘𝗰𝗼𝗻𝗼𝗺𝗶𝗰 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 (𝗙𝗶𝗻𝗢𝗽𝘀): Engineered a model to monitor inference costs and LLM/Agentic API consumption.• 𝗢𝗯𝘀𝗲𝗿𝘃𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Advanced monitoring for production model performance and reliability."𝗣𝗮𝘁𝗿𝗶𝗺𝗼𝗻𝘆 & 𝗧𝗮𝗿𝗴𝗲𝘁 𝗣𝗿𝗶𝗼𝗿𝗶𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻" 𝗣𝗿𝗼𝗷𝗲𝗰𝘁: Strategic advisory for oncology researchers to identify new therapeutic targets.• 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗚𝗿𝗮𝗽𝗵𝘀: Developed Knowledge Graphs and genomic scoring for target prioritization.• 𝗘𝗻𝗱-𝘁𝗼-𝗘𝗻𝗱 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆: Led full-stack engineering (ELT, Backend, Frontend) and deployed on GCP𝗜𝗻𝗴𝗲𝘀𝘁𝗶𝗼𝗻 & 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Designed a Medallion Architecture for automated daily ingestion of global bibliographic flows (PMC, Elsevier), integrated with RAG𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗜𝗺𝗽𝗮𝗰𝘁• 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗚𝗮𝗶𝗻: Automated E2E biomedical analysis, accelerating research cycles from weeks to hours.• 𝗖-𝗦𝘂𝗶𝘁𝗲 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Presented Agentic POCs to the Executive Committee (COMEX).• 🏆 𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁𝗶𝗼𝗻: Winner of the Servier AI Hackathon (1st Prize). Project: AI-Driven Virtual Trainer for field teams, validated by a jury including the COMEX and the President of Google Cloud France.
- LeclercLead Data EngineerE-COMMERCEaoût 2021 - février 2025 (3 ans et 6 mois)Paris, FranceLeading the modernization of the national data ecosystem and operational performance on Google Cloud Platform (GCP).𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆 & 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲Automation & Scalability: Designed and deployed sovereign cloud architectures using Terraform (IaC) for high reproducibility and security.• 𝗦𝗥𝗘 & 𝗥𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸: Implemented advanced monitoring via Cloud Monitoring; defined and tracked critical SLIs/SLOs/SLAs to ensure 24/7 high availability of data services.• 𝗘𝘃𝗲𝗻𝘁-𝗗𝗿𝗶𝘃𝗲𝗻 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲: Designed and executed real-time data pipelines to streamline information flow between transactional and analytical systems.𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝗮𝗹 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲• 𝗠𝗼𝗱𝗲𝗿𝗻 𝗗𝗮𝘁𝗮 𝗦𝘁𝗮𝗰𝗸: Orchestrated complex ETL workflows using Apache Airflow (Cloud Composer) and high-performance data modeling on BigQuery.• 𝗡𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗲𝘁𝗮𝗶𝗹 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Developed and deployed the strategic "Store Dashboard" product, centralizing 30+ critical KPIs (Retail, Supply Chain, Finance, Ops) for all E.Leclerc national entities.𝗔𝗜 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 & 𝗩𝗮𝗹𝘂𝗲 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 (𝗥𝗢𝗜)• 𝗙𝗶𝗻𝗢𝗽𝘀 & 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: Audited and optimized BigQuery workloads, resulting in a $40,000 direct reduction in operational costs while significantly improving query response times.• 𝗚𝗲𝗻𝗔𝗜 & 𝗠𝗟 (𝗩𝗲𝗿𝘁𝗲𝘅 𝗔𝗜): Led Generative AI POCs using Vertex AI to develop personalized product recommendation engines, boosting customer engagement and average basket size.
- Ministère de l'Economie, des Finances et de la RelanceDatabase EngineerSECTEUR PUBLIC & COLLECTIVITÉSoctobre 2020 - mars 2021 (5 mois)Paris, FranceDriving the modernization of the Ministry’s large-scale national data infrastructure.𝗖𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲 𝗠𝗼𝗱𝗲𝗿𝗻𝗶𝘇𝗮𝘁𝗶𝗼𝗻• 𝗘𝘅𝗮𝗱𝗮𝘁𝗮 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Deployment of Oracle Exadata X7 systems, upgrading the high-performance computing capabilities for national economic data.• 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆: Orchestrated integration testing and data migration protocols to ensure zero-downtime transitions for mission-critical financial systems.• 𝗟𝗲𝗴𝗮𝗰𝘆 𝗦𝘆𝘀𝘁𝗲𝗺 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Developed advanced Unix Shell automation scripts to streamline database administration and optimize system performance.𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 & 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲• 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻 𝗦𝘂𝗽𝗽𝗼𝗿𝘁: Conducted deep data analysis and designed visualizations to provide actionable insights for ministerial data policy and system usage.• 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻: Authored comprehensive technical standards and migration playbooks, ensuring the sustainability of the new infrastructure for the Ministry's data teams.• 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Collaborated with cross-functional stakeholders to align the new infrastructure with national security and compliance requirements.
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Formations
- MSc Communication Systems & Data ScienceÉcole Polytechnique Fédérale de Lausanne2018Advanced courses in Communication Systems, Networks and Telecommunications, Algorithms, Cryptography and Security, Technology Management, Applied Mathematics, Statistics, Data Sciences and Machine Learning. Master thesis (grade 5.5 / 6): Optimisation of spart parts stock and global stock value using Deep Learning & Factory Pooling.