Mohamed Ikbel El Amri

+ Architected a patent-pending, cross-platform fragrance management application (React Native, Node.js) featuring a resilient offline-first sync engine and Optimistic UI state management, driving the end-to-end SDLC
+ Engineered a RAG-based AI recommendation engine (Supabase, PostgreSQL, pgvector), combining 1, 536 dimensional vector similarity search with LLM generation to power dynamic semantic search on 70, 000+ records
+ Orchestrated autonomous AI coding agents to accelerate DataOps and ML pipelines, rapidly iterating and shipping complex relational RPCs, vector-syncing algorithms, and reinforcement learning into production environments

+ Designed a modular AI orchestration layer using LangChain, Neo4j, and FastAPI, integrating vector search, prompt engineering, and LLM APIs to automate knowledge retrieval and agent-driven workflows
+ Engineered adaptive UI components for an AI-driven personalization platform, optimizing real-time interaction, contextual rendering, and multi-device performance

+ Applied machine learning models to financial datasets to support data-driven insights and predictive analytics
+ Optimized REST API data retrieval using hash-based indexing and engineered a Django scheduling system
+ Refactored the modular fintech UI using AngularJS, replacing manual workflows with dynamic D3.js visualizations
+ Maintained production stability by leading code reviews and executing automated tests for high-stakes features

+ Engineered and maintained full-stack web platforms using Javascript, JQuery, PHP, and Twitter Bootstrap
+ Managed digital asset creation, UI/UX design elements in digital campaigns using Adobe Creative Suite
+ Curated five season-opening events alongside notable art showcases including NY Art, Antiques and Jewelry,
Market Art + Design and Hamptons Contemporary