Alexandre – AI agent development, LLM, Machine learning

The company's mission is to help people find the right job and to connect employers with the talent they need to grow.

• Led and mentored a team of up to 7 mid-level and senior Data Scientists, overseeing end-to-end delivery from experimentation to production.
• Defined and executed the AI roadmap across all business verticals, integrating AI capabilities with 4 core business units.
• Delivered an average of 2 production-grade AI use cases per quarter across B2C and B2B applications.
• Designed and deployed scalable agentic architectures operating on open-source and commercial LLMs.
• Established evaluation, monitoring, and governance frameworks to ensure reliability, cost efficiency, and regulatory alignment.
• Partnered with Product, Engineering, Legal, and Compliance to operationalize responsible AI at scale.

Automated AI moderation systems for TikTok's direct messages at a massive scale.

• Owned the end-to-end ML lifecycle, including data acquisition, large-scale preprocessing, model development, deployment on internal cloud infrastructure, and continuous production monitoring.
• Designed and deployed multiple generations of detection models, increasing moderation coverage by 600× while maintaining high precision standards.
• Scaled inference pipelines to support high-throughput, low-latency decisioning, reducing response times and infrastructure costs.
• Built reusable moderation components and internal tooling adopted by four sister teams, extending model impact across the organization.
• Coordinated with engineering teams to ensure compatibility with downstream tasks.
• Monitored the service and handled unexpected events.
• Synced with business stakeholders to update objectives.
• Led the internal group dedicated to knowledge sharing.
• Partnered with Legal and Privacy teams to ensure compliance with global data protection and platform safety regulations.

The company's mission is to equip customers with unparalleled domain expertise and forward-thinking software solutions that shape the digital fabric of daily life

• Advised enterprise clients across finance and the public sector on building scalable AI capabilities from strategy definition to production deployment.
• Established and structured the Data Science function for a major Middle Eastern ministry, defining AI architecture, governance frameworks, and hiring roadmap.
• Designed and deployed ML infrastructure for the Risk Department of a leading French bank, enabling large-scale model development and regulatory-aligned deployment.
• Led AI solution design across NLP, computer vision, and privacy-preserving ML for financial use cases.
• Conducted internal R&D on applied AI for regulated environments, including encrypted ML workflows and automated data anonymization techniques.

A real-time recommendation chatbot for the CIB department of a major French bank.

• Led a data science team delivering a real-time recommendation chatbot for the CIB division of a major international bank.
• Designed an ML-driven recommendation system integrating user feedback loops for continuous optimization.
• Managed end-to-end delivery from modeling to production deployment.
• Implemented a chatbot that suggested potential leads for the sales team and adapted recommendations dynamically based on real-time customer feedback.