Erwan Folquet

• Implemented and optimized AWS Bedrock for enterprise-scale generative AI applications, integrating knowledge bases with OpenSearch Serverless to enable advanced RAG (Retrieval-Augmented Generation) capabilities for customer facing LLM applications (OpenAI, Anthropic Claude, DeepSeek).

• Architected the new Discount Pricing system responsible for 80% of company revenue. Optimized pricing strategies during sales periods, boosted revenue with increased gross margin, minimized overstock, improved execution time by 30%, significantly reduced cloud costs, drove scalability, profitability, and solidified the company's competitive edge.

• Key architect of the AI ML Hub system, reducing AI ML models prototyping, development, and deployment time from 4 months to 2 weeks. Streamlined workflows, accelerated innovation, and improved delivery efficiency (Sagemaker, Lambda, Step Function, Cloudformation, IAC, CICD, Bash, Jenkins, Docker, S3, Athena, ECR, ECS, Event Bridge, API Gateway, OpenAPI, Route 53, VPC).

• Designed and deployed a scalable Search Engine Management system, optimizing Google Ads campaign expenditures and enabling the Marketing team to manage a multi-million-dollar annual budget effectively, leading to measurable cost savings and increased ROI.

• Built a data-driven Inventory Buying Optimization system, reducing overbought inventory by 20%, lowering operational costs, and providing actionable insights for more efficient decision-making to the Buyers team.

• Built an enhanced Observability and Analytics framework for AI ML workflows by integrating SageMaker, CloudWatch custom metrics, Slack alert notifications and Datadog, enabling real-time monitoring and faster debugging cycles.

• Delivered scalable production-grade AI ML solutions with architectures supporting real time (live), serverless endpoints, or batch inference, ensuring seamless integration with existing business systems.

• Optimized the Content Recommendation system serving millions of users decreasing churn rate, improving conversion from guest users, and increasing users spendings (Spark, Spark ALS, Databricks, Cloudformation, Step Function).

• Migrated the Recommendation system data processing pipeline from legacy to microservices reducing overload issues, legacy platform dependency, and data processing time (SQL, Snowflake, Databricks, AWS).

• Designed a Content Moderation system to automatically tag and filter NSFW content in user uploaded images and videos (Computer Vision, Keras, Resnet, OpenCV, Pillow, Cuda).

• Created a Credit Card Fraud detection system reducing chargebacks by 30% (SciKit Learn, XGBoost).

• Streamlined data pipelines for faster AI ML model development.

• Data mining, cleaning, and preprocessing of structured and unstructured data (images and videos).

• Wrote documentation of scripts, AI ML models and guides for cross team usage.

• Maintained communication flow with stakeholders both non technical (business/high level), and technical (developers).

• Initiated a data driven philosophy by democratizing Business Intelligence principles with stakeholders.

• Developed the KPIs to monitor and rate accounts growth potential increasing cross selling revenues.

• Managed the global portfolio of key accounts from various domains (digital marketing, IT, banking, fintech, healthcare).

• Streamlined the problem solving process between the different departments and third parties reducing the issue resolution time by half on average.

• Grew, and solidified collaborative relationships with CEO's, Ultimate Beneficiary Owners, and major decision makers consolidating their loyalty, and upselling opportunities.

• Handled all aspects of key account's business dealings i.e. contract management, problem solving, and expansion.

• Work closely with the sales and IT teams for new products development and updates of the product portfolio by breaking down market conditions, industry's innovations, and global trends.

• Successfully trained all new account managers, and managed the department.