ISRAE ABDELBAR

– Define & Design: – Defined project scope and architecture for the first React-based AI Assistant integrated with ENOVIA product configuration. – Designed system capabilities including API interactions, automated actions, dynamic memory for adaptive responses, and real-time streaming feedback. – Lead & Develop: – Led and developed the project independently, collaborating with cross-functional teams within ENOVIA R&D. – Built and released the AI Assistant leveraging internal services and infrastructure, deployed via CI/CD pipelines. – Conducted testing, quality validation, and optimized workflows for AI agents. – Developed Virtual Assistant POCs with features including graph RAG knowledge retrieval using Neo4j (Cypher), RDF graphs (SPARQL), and Text-to-SGI exploration. – Support & Mentorship: – Mentored team members on AI tools, agent architecture, and Generative AI frameworks by leading presentations during multiple knowledge-sharing sessions and Gen AI workshops. – Guided interns to develop POCs on Generative AI and supervised their implementation and demonstration. – Key technologies: Python, OOP, Prompt Engineering, LLM, LangChain, LangGraph, MCP server, RAG, RAG on Graph, NLP, CI/CD

– Built automated ETL pipelines and interactive dashboards (Data Perspective, Generic Widgets) to deliver HR analytics insights – Applied clustering and NLP (verbatims analysis) to support workforce analytics and KPI monitoring – Worked with SAP data sources and optimized reporting processes through automation – Key technologies: Python, ETL, NLP, Clustering, BERTopic, Transformers, SAP, Generic Widgets, Data Visualization