About Salmane
๐ฆ๐ฒ๐ป๐ถ๐ผ๐ฟ ๐๐๐ฃ ๐๐ฒ๐ป ๐๐ ๐ฆ๐ผ๐น๐๐๐ถ๐ผ๐ป๐ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐ specializing in end-to-end data platforms and production-grade (๐๐ด๐ฒ๐ป๐๐ถ๐ฐ) ๐๐ systems. I design scalable, secure architectures aligned with the ๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐น๐ผ๐๐ฑ ๐ช๐ฒ๐น๐น-๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐ฒ๐ฑ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ (๐ฅ๐ฒ๐น๐ถ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐, ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐, ๐๐ผ๐๐ ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป), leveraging MLOps and multi-agent orchestration for autonomous decision-making.โ
Dedicated to cultivating a culture of knowledge sharing and engineering compliant, industry-standard solutions. My focus is on unlocking tangible valueโtransforming complex AI capabilities into measurable efficiency and competitive advantage.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- ServierGCP Data & AI ArchiectPHARMACEUTICALS INDUSTRYFebruary 2025 - Today (1 year and 4 months)Suresnes, France๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฐ ๐ฉ๐ถ๐๐ถ๐ผ๐ป & ๐๐น๐ผ๐๐ฑ ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ (๐๐ผ๐ผ๐ด๐น๐ฒ ๐๐น๐ผ๐๐ฑ ๐ฃ๐ฎ๐ฟ๐๐ป๐ฒ๐ฟ๐๐ต๐ถ๐ฝ)๐๐ด๐ฒ๐ป๐๐ถ๐ฐ ๐๐ ๐จ๐ฟ๐ฏ๐ฎ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ป: Defined the roadmap and architectural blueprints for Group-wide Agentic AI workflows.๐๐ป๐๐ฒ๐ฟ๐ฝ๐ฟ๐ถ๐๐ฒ ๐๐ ๐๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป๐: Implemented Apigee as an AI Gateway, structuring governance across four critical pillars:โข ๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒ: Established LLMOps, AIOps, and APIOps frameworks.โข ๐ฆ๐ฒ๐ฐ๐๐ฟ๐ถ๐๐ & ๐๐ผ๐บ๐ฝ๐น๐ถ๐ฎ๐ป๐ฐ๐ฒ: Designed ACL policies and advanced security protocols for AI APIs.โข ๐๐ฐ๐ผ๐ป๐ผ๐บ๐ถ๐ฐ ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ (๐๐ถ๐ป๐ข๐ฝ๐): Engineered a model to monitor inference costs and LLM/Agentic API consumption.โข ๐ข๐ฏ๐๐ฒ๐ฟ๐๐ฎ๐ฏ๐ถ๐น๐ถ๐๐: Advanced monitoring for production model performance and reliability."๐ฃ๐ฎ๐๐ฟ๐ถ๐บ๐ผ๐ป๐ & ๐ง๐ฎ๐ฟ๐ด๐ฒ๐ ๐ฃ๐ฟ๐ถ๐ผ๐ฟ๐ถ๐๐ถ๐๐ฎ๐๐ถ๐ผ๐ป" ๐ฃ๐ฟ๐ผ๐ท๐ฒ๐ฐ๐: Strategic advisory for oncology researchers to identify new therapeutic targets.โข ๐๐ฎ๐๐ฎ ๐ฆ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ฒ & ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐๐ฟ๐ฎ๐ฝ๐ต๐: Developed Knowledge Graphs and genomic scoring for target prioritization.โข ๐๐ป๐ฑ-๐๐ผ-๐๐ป๐ฑ ๐๐ฒ๐น๐ถ๐๐ฒ๐ฟ๐: Led full-stack engineering (ELT, Backend, Frontend) and deployed on GCP๐๐ป๐ด๐ฒ๐๐๐ถ๐ผ๐ป & ๐๐ป๐ผ๐๐น๐ฒ๐ฑ๐ด๐ฒ ๐ ๐ฎ๐ป๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐: Designed a Medallion Architecture for automated daily ingestion of global bibliographic flows (PMC, Elsevier), integrated with RAG๐๐๐๐ถ๐ป๐ฒ๐๐ ๐๐บ๐ฝ๐ฎ๐ฐ๐โข ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐ ๐๐ฎ๐ถ๐ป: Automated E2E biomedical analysis, accelerating research cycles from weeks to hours.โข ๐-๐ฆ๐๐ถ๐๐ฒ ๐๐ป๐ด๐ฎ๐ด๐ฒ๐บ๐ฒ๐ป๐: Presented Agentic POCs to the Executive Committee (COMEX).โข ๐ ๐๐ถ๐๐๐ถ๐ป๐ฐ๐๐ถ๐ผ๐ป: 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-COMMERCEAugust 2021 - February 2025 (3 years and 6 months)Paris, FranceLeading the modernization of the national data ecosystem and operational performance on Google Cloud Platform (GCP).๐๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐ & ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒAutomation & Scalability: Designed and deployed sovereign cloud architectures using Terraform (IaC) for high reproducibility and security.โข ๐ฆ๐ฅ๐ & ๐ฅ๐ฒ๐น๐ถ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐ ๐๐ฟ๐ฎ๐บ๐ฒ๐๐ผ๐ฟ๐ธ: Implemented advanced monitoring via Cloud Monitoring; defined and tracked critical SLIs/SLOs/SLAs to ensure 24/7 high availability of data services.โข ๐๐๐ฒ๐ป๐-๐๐ฟ๐ถ๐๐ฒ๐ป ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ: Designed and executed real-time data pipelines to streamline information flow between transactional and analytical systems.๐๐ฎ๐๐ฎ ๐๐ป๐ด๐ถ๐ป๐ฒ๐ฒ๐ฟ๐ถ๐ป๐ด & ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ฎ๐น ๐๐ ๐ฐ๐ฒ๐น๐น๐ฒ๐ป๐ฐ๐ฒโข ๐ ๐ผ๐ฑ๐ฒ๐ฟ๐ป ๐๐ฎ๐๐ฎ ๐ฆ๐๐ฎ๐ฐ๐ธ: Orchestrated complex ETL workflows using Apache Airflow (Cloud Composer) and high-performance data modeling on BigQuery.โข ๐ก๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฅ๐ฒ๐๐ฎ๐ถ๐น ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐: Developed and deployed the strategic "Store Dashboard" product, centralizing 30+ critical KPIs (Retail, Supply Chain, Finance, Ops) for all E.Leclerc national entities.๐๐ ๐๐ป๐ป๐ผ๐๐ฎ๐๐ถ๐ผ๐ป & ๐ฉ๐ฎ๐น๐๐ฒ ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป (๐ฅ๐ข๐)โข ๐๐ถ๐ป๐ข๐ฝ๐ & ๐๐ณ๐ณ๐ถ๐ฐ๐ถ๐ฒ๐ป๐ฐ๐: Audited and optimized BigQuery workloads, resulting in a $40,000 direct reduction in operational costs while significantly improving query response times.โข ๐๐ฒ๐ป๐๐ & ๐ ๐ (๐ฉ๐ฒ๐ฟ๐๐ฒ๐ ๐๐): Led Generative AI POCs using Vertex AI to develop personalized product recommendation engines, boosting customer engagement and average basket size.
- Ministรจre de l'Economie, des Finances et de la RelanceDatabase EngineerPUBLIC SECTOROctober 2020 - March 2021 (5 months)Paris, FranceDriving the modernization of the Ministryโs large-scale national data infrastructure.๐๐ฟ๐ถ๐๐ถ๐ฐ๐ฎ๐น ๐๐ป๐ณ๐ฟ๐ฎ๐๐๐ฟ๐๐ฐ๐๐๐ฟ๐ฒ ๐ ๐ผ๐ฑ๐ฒ๐ฟ๐ป๐ถ๐๐ฎ๐๐ถ๐ผ๐ปโข ๐๐ ๐ฎ๐ฑ๐ฎ๐๐ฎ ๐๐บ๐ฝ๐น๐ฒ๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป: Deployment of Oracle Exadata X7 systems, upgrading the high-performance computing capabilities for national economic data.โข ๐ ๐ถ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐: Orchestrated integration testing and data migration protocols to ensure zero-downtime transitions for mission-critical financial systems.โข ๐๐ฒ๐ด๐ฎ๐ฐ๐ ๐ฆ๐๐๐๐ฒ๐บ ๐ข๐ฝ๐๐ถ๐บ๐ถ๐๐ฎ๐๐ถ๐ผ๐ป: Developed advanced Unix Shell automation scripts to streamline database administration and optimize system performance.๐๐ฎ๐๐ฎ ๐๐ป๐ฎ๐น๐๐๐ถ๐ฐ๐ & ๐๐ผ๐๐ฒ๐ฟ๐ป๐ฎ๐ป๐ฐ๐ฒโข ๐๐ฒ๐ฐ๐ถ๐๐ถ๐ผ๐ป ๐ฆ๐๐ฝ๐ฝ๐ผ๐ฟ๐: Conducted deep data analysis and designed visualizations to provide actionable insights for ministerial data policy and system usage.โข ๐ง๐ฒ๐ฐ๐ต๐ป๐ถ๐ฐ๐ฎ๐น ๐๐ผ๐ฐ๐๐บ๐ฒ๐ป๐๐ฎ๐๐ถ๐ผ๐ป: Authored comprehensive technical standards and migration playbooks, ensuring the sustainability of the new infrastructure for the Ministry's data teams.โข ๐ฆ๐๐๐๐ฒ๐บ๐ ๐๐ป๐๐ฒ๐ด๐ฟ๐ฎ๐๐ถ๐ผ๐ป: Collaborated with cross-functional stakeholders to align the new infrastructure with national security and compliance requirements.
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Education
- MSc Communication Systems & Data Scienceรcole Polytechnique Fรฉdรฉrale 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.