const zakariae = {
location: "Casablanca, Morocco 🇲🇦",
focus: "AI Engineering & LLM Integration",
philosophy: "AI isn't a feature—it's the foundation",
currently: "Building intelligent systems that actually work in production",
interests: ["Semantic Search", "RAG Pipelines", "Agent Workflows", "NLP"],
};I specialize in turning LLMs and AI into production-ready solutions that solve real business problems. My work ranges from intelligent document processing to autonomous communication systems—all built with modern AI at their core.
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Tech: LLMs • Embeddings • Flask • NLP Built a fully dynamic scraper that accepts any URL and uses LLMs for extraction, categorization, and summarization. Implemented semantic search with embedding-based filtering and automated multi-channel delivery (WhatsApp/Email/Webhooks). Key Innovation: Zero custom scrapers—pure AI-driven content analysis. |
Tech: NLP • Intent Classification • Nest.js • MongoDB Designed an AI system that interprets email intent, detects valid insurer responses, and autonomously manages follow-up workflows. Reduced manual legal correspondence by implementing intelligent email classification and automated WhatsApp client updates. Key Innovation: Self-adjusting workflows based on NLP-detected responses. |
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Tech: Generative AI • Meta APIs • Angular • MongoDB Created an AI-powered customer engagement platform across social channels that handles conversations autonomously, reducing manual support efforts by 90% through intelligent dialogue management. Key Innovation: Context-aware conversation handling across multiple platforms. |
Tech: AWS Textract • Trulioo • Checkr • TypeScript Integrated document intelligence into a loan origination platform with automated ID verification and risk screening. Built dynamic flowchart workflows for real-time eligibility calculations. Key Innovation: End-to-end automation of document verification pipelines. |
AI & ML:
Core: [LLMs, NLP, Generative AI, Embeddings, RAG, Vector Databases]
APIs: [OpenAI, Anthropic, OpenRouter, AWS AI Services]
Tools: [LangChain, Semantic Search, Intent Classification]
Backend:
Primary: [Node.js, Nest.js, TypeScript, Python, Flask]
Familiar: [FastAPI, Go]
Frontend:
Production: [Angular, React, Next.js, Tailwind CSS]
Mobile: [React Native, Flutter]
Data:
Databases: [MongoDB, PostgreSQL, MySQL, Redis]
ORMs: [TypeORM, Mongoose, Prisma]
Infrastructure:
Containerization: [Docker, Kubernetes]
Cloud: [AWS, GCP]
CI/CD: [GitLab]
Message Queues: [RabbitMQ, Kafka]
Currently Pursuing: AWS Solutions Architect & Cloud Practitioner
Building production-grade AI systems | Exploring advanced RAG techniques | Contributing to AI-powered open source
"The best AI systems are the ones you don't notice—they just work."