Chouaib Nemri

As a key member of Google's Applied AI Engineering team, I focus on implementing advanced generative AI components for Vertex AI. This specialized role involves close collaboration with Google DeepMind researchers, GCP product and engineering teams, and strategic customers to translate cutting-edge AI research into practical solutions. My work encompasses a wide range of technologies, including Foundation Model APIs, Search and Conversation systems, Model Garden, and Vector Search.

Working at the intersection of research and application, I contribute to the development and integration of sophisticated AI models and products. This unique position allows me to address complex challenges for industry leaders while helping shape the future of AI technology within Google Cloud Platform.

- Led intensive two to five day Build Lab sessions, accelerating databases, analytics, AI/ML, and modernization initiatives.

- Conducted one-half to two day Design Lab engagements, providing real-world architecture recommendations.

- Offered prescriptive guidance, shared best practices, and resolved technical roadblocks during Labs.

- Delivered custom-fit architectures and prototypes, enabling customers' path to production.

- Collaborated with Chief Data Officers, VPs of Data Architecture, and Builders as a Resident Architect.

- Assisted customers in refining and accelerating data strategy and solutions over six-month engagements.

- Developed expertise in AWS databases, analytics, AI/ML, serverless, and containers services.

- Cultivated relationships with AWS service experts, expanding customer network and resources.

- Developed and updated training program content, ensuring high-quality pedagogy and intervention delivery.

- Emphasized the importance of data-related skills for the future and promoted data-driven decision-making.

- Encouraged innovation through research and publication, focusing on Machine Learning and artificial intelligence.

- Fostered entrepreneurship, providing tools and support for professional projects.

- Supported colleagues in achieving their professional goals.

- Led training initiatives for cloud-based data engineering as Head Of Training - Cloud Data Engineer.

- Contributed to the growth and success of DataScientest's training programs.

- Led a team of trainers, ensuring high-quality training content delivery.

- Shaped the pedagogical approach and methodology for a comprehensive learning experience.

- Collaborated with cross-functional teams to align training with industry trends.

- Improved training content and delivery methods based on feedback and advancements.