Professional Experience
Developing tools for automating IA : https://waiyer.com
Leading the optimization of LCL's internal SNI entity organization and implementing analytical dashboards for CODIR and squad leaders. Consolidating data from diverse sources and orchestrating automated processing through scalable, maintainable architecture.
- Conducted comprehensive SI audit comparing PostgreSQL, MongoDB, and Teradata
- Designed hybrid technical architecture (on-premise first with GCP cloud equivalents)
- Orchestrated Kubernetes deployment of dockerized Python scripts
- Integrated Jira APIs and other enterprise tools into data pipelines
- Created dynamic Power BI dashboards for executive leadership
- Led technical team of 2 data engineers and 1 Product Owner
Working at France's premier Google Cloud Platform partner (Services 2023, Training 2024, EMEA 2025), specializing in software development and technological transformation for enterprise clients.
Core member of agile team developing Mon Bonus Engie/Ecodefi+, ICE, and Ecogestes Dynamiques products in SAFe framework, serving over 1.6M total customers.
- Built REST APIs handling 100k+ daily requests with sub-second latency
- Architected AWS microservices and digital platforms
- Scaled with data scientists Deep Learning algorithms (DeepAR, Temporal Fusion Transformer)
- Worked on technology migration roadmap within SAFe train
- Optimized database flows with advanced indexing and structure improvements
Specialized consulting in large-scale data projects while leading internal innovation initiatives.
- Directed Pysquad project for internal digital product development
- Coordinated generic AI implementation for multimodal inference tasks using Azure AI Studio
- Built data platform for sales team to manage missions, prospects, and consultants
Led data science initiatives for fintech startup revolutionizing sports betting through advanced analytics.
- Managed multi-database architecture (MongoDB, SQL Server, HDF5) with hundreds of GBs
- Developed highly configurable REST API for front-end data aggregation
- Implemented real-time statistics updates using RabbitMQ and Redis caching
- Configured Azure cloud services (Functions, Web Services, Artifacts, Pipelines)
- Coordinated team of 2 engineers (data scientist and front-end developer)
Education & Certifications
Education
Master's in Computer Science, Big Data & Connected Objects with specialization in Data Science. Focused on statistical analysis, machine learning algorithms, and large-scale data processing systems.
International exchange focusing on advanced computer science and data mining techniques.
- CS 235: Data Mining Techniques
- CS 171: Introduction to Machine Learning and Data Mining
- CS 009: Python Programming
Certifications
Professional Data Engineer
April 2025 - April 2027
Expertise in designing, building, and maintaining data processing systems on Google Cloud Platform.
Associate Cloud Engineer
April 2025 - April 2028
Proficiency in deploying applications, monitoring operations, and managing enterprise cloud solutions.
Projects
AI Food recommandation system
Food recommndation system for healthy recipes
Song analysis
A real-time task management application with team collaboration features.
AI tools website (in construction)
Website giving user many options to automate AI related tasks