Inès De Castéja

• Design and deployment of intelligent conversational agent implementation strategieswith automated workflows (retellAI, eleven labs)
• Conducting competitive analyses and industry studieson the practical integration of AI in the luxury industry
• Strategic consultingfor entrepreneurs on website design and user-centric product development
• Facilitating collaborative strategic workshopsto support clients in developing and consolidating their product vision and roadmap
• Maintaining cutting-edge expertise through continuous technological monitoring, Machine Learning practice, and obtaining specialized DeepLearning.AI certifications (MCP, Chatbot, Agentic Systems)

• Machine learning specialization: Stanford Online & DeepLearning.AI
• Deep Learning Specialization: DeepLearning.AI
• LangChain Academy: LangChain
• Python 3 programming: University of Michigan

AI Voice Agent Creation Company

• Definition and management of the product roadmap aligned with business objectives
• Building the product vision and preparing launches (Go-to-Market)
• Developing pricing strategy and competitive positioning

• Coaching and upskilling a product team: 1 Junior PO, 1 Junior Designer, 2 Junior Developers
• Implementing and facilitating Agile methodology to optimize development cycles
• Close collaboration with the CTO on key technical choices (Stripe integration, call attribution)
• Implementing tracking tools, performance monitoring, and documentation

• Collaboration with the Growth Marketing lead on product marketing and communication strategy
• Creating sales materials (flyers, pitches) to support sales teams
• Optimizing user experience (UX) and streamlining interfaces

• Writing detailed functional specifications
• Managing acceptance testing and validating deliverables
• Working with the AI Engineering lead on latency optimization (reduction by 1.5x), prompt construction, and product improvement
• Integrating payment solutions (Stripe) and phone number attribution

• Cross-functional coordination of 6 multidisciplinary teamsto ensure deliverable consistency and achievement of strategic objectives
• Leading front-end architecture and managing the main user base (+10M active users) with a key contribution to Infogreffe's technical architecture
• Complete supervision of the feature development and deployment cycle, including the design of RESTful APIs and harmonization of data architectures
• Implementation of Gitflow methodologies and optimization of continuous delivery processes via Azure DevOps
• Analysis and resolution of high-impact bugs:
• Database desynchronization: development of Python scripts to identify user data discrepancies and implementation of corrective SQL queries.
• Identification and resolution of a bug allowing recovery of +30,000 users.
• Management of personal data leaks and drafting of an CNIL report