Sofiane Omari

🔹 AI Industrialization (MLOps): Designing and deploying scalable production architectures, transforming complex prototypes into robust and maintainable solutions. 🔹 Sovereign AI & LLMs: Expertise in RAG (Retrieval-Augmented Generation) and local model deployment to ensure full confidentiality of sensitive data. 🔹 Cloud Data Architecture: Implementing critical infrastructure and high-performance data pipelines within GCP and Azure environments. 🔹 Strategy & Business Impact: Partnering with organizations to identify high-ROI use cases and providing technical leadership to drive large-scale AI adoption. 🔹 Multi-sector Expertise: Solving diverse challenges ranging from Fintech (fraud detection, conversion optimization) to heavy industry (predictive maintenance, process optimization).

🔹 Enterprise AI Strategy & Governance: Leading high-impact AI initiatives and orchestrating cross-functional collaboration between Data, IT, and Business units to deploy innovative, production-ready solutions. 🔹 Scalable Access Control & Security: Implementing advanced row-level security (RLS) and user segmentation for 1,600+ users in Power BI and Tableau, ensuring robust data governance and secure model consumption. 🔹 Advanced Data Storytelling: Designing and engineering complex, interactive analytical layers in Tableau to translate high-dimensional data into actionable strategic insights. 🔹 Knowledge Engineering & AI Adoption: Driving organizational AI maturity by documenting technical architectures and processes through comprehensive internal wikis, ensuring seamless tool adoption and knowledge transfer. 🔹 Technical Leadership: Acting as the primary bridge between technical execution and business requirements to ensure AI projects align with global corporate objectives.

🔹Conducted in-depth market analysis and risk assessments to anticipate trends and secure profitable opportunities. 🔹 Performed competitive intelligence to benchmark suppliers and identify strategic advantages. 🔹 Optimized purchasing strategies through the use of advanced tools and dedicated programs, improving margins and efficiency. 🔹 Automated key steps of the procurement process, reducing manual workload and minimizing errors

🔹 End-to-End ML Infrastructure: Architecture and deployment of hybrid database systems (SQL & NoSQL) optimized for high-performance vector storage and retrieval. 🔹 Advanced Feature Engineering: Designing complex data preparation pipelines and automated Feature Stores to maximize the accuracy of predictive models. 🔹 Production-Grade Data Pipelines: Developing scalable ETL workflows on AWS and Dataiku, integrating full MLOps lifecycles for model industrialization. 🔹 Predictive Analytics & Forecasting: Engineering AI-driven solutions for Time Series Forecasting (budgets, power consumption) with optimized precision for strategic steering. 🔹 FinOps & Model Serving: Optimizing compute infrastructure through custom autoscaling algorithms, reducing GPU/Server costs while ensuring high availability. 🔹 AI-Driven Dashboarding: Creating advanced decision-making interfaces in PowerBI, translating complex Machine Learning outputs into actionable business KPIs. 🔹 Technical Advisory: Technical lead on integrating AI tools to automate the creation and tracking of critical operational records.

🔹 Microbial Reverse-Engineering: Debugging and analyzing complex biological systems. 🔹 Data Pipeline: Ingesting and processing structured experimental datasets. 🔹 Monitoring & QA: Real-time tracking of critical variables and growth unit testing.