À propos de Zakariae
AI engineer specializing in cutting-edge generative AI solutions and multi-agent systems. I transform complex business challenges into intelligent, automated solutions.
💼 Portfolio: zakariae.live
Core Expertise:
Multi-Agent AI Systems - CrewAI, Google ADK, Autogen, Semantic Kernel
LLMs & Integration - GPT, Gemini, Claude via LangChain/LlamaIndex
Cloud AI Platforms - GCP Vertex AI, AWS Bedrock, Azure AI Services
Vector Search & RAG - Pinecone, OpenSearch, Faiss, Weaviate
Key Projects:
✅ AI-Powered HR Platform - Intelligent CV management with semantic search
✅ Supply Chain Intelligence - Cloud-native GenAI solution with advanced document processing
✅ Pharmaceutical Compliance System - Automated regulatory validation with multi-agent architecture
🛠️ Tech Stack: Python, FastAPI, Streamlit, ReactJS, Vector Databases, CI/CD
🏆 Certifications : Oracle GenAI Professional | Azure AI Certified | AWS GenAI Certified
Ready to revolutionize your business with AI? Let's build something extraordinary together.
Anglais
Bilingue ou natif
Français
Capacité professionnelle complète
Arabe
Bilingue ou natif
En télétravail uniquement
Travaille majoritairement à distance
Expériences
- ClientGenAI Engineermars 2025 - avril 2025 (1 mois)English Accent Analyzer – AI Powered Multilingual Audio Intelligence System:
- Built comprehensive video-to-audio processing pipeline supporting YouTube URLs and direct video file formats.
- Implemented advanced audio preprocessing with noise reduction using Deep Filternet for enhanced accent detection accuracy.
- Integrated Wav2Vec2 transformer model via Hugging Face for sophisticated accent classification (British, American, Australian, etc.)
- Created confidence scoring system with AI-powered natural language explanations using OpenRouter API integration.
- Designed user-friendly interface with real-time processing capabilities and detailed analytics dashboard.
- Automated multimedia content analysis with seamless video download and audio extraction workflows
Tech stack: Python, Streamlit, Hugging Face Transformers (Wav2Vec2), MoviePy, LibROSA, Deep Filternet, yt-dlp, OpenRouter API (Mistral), Audio Processing Libraries - Capgemini TSData Scientist & Artificial Intelligence Engineerseptembre 2024 - Aujourd'hui (1 an et 9 mois)Casablanca, MoroccoMember of the GenAI Lab – Designing Innovative Generative AI SolutionsAI-Powered HR Platform– Intelligent CV Management System:
- Multi-agent GenAI solution built with Google's Agent Development Kit (ADK)
- Smart document parsing with entity extraction and metadata enrichment.
- Semantic search using vector embeddings and retrieval via Vertex AI.
- User-friendly interface built with Streamlit
Tech stack: Python, GCP ADK, Gemini Flash 2.0, Vertex AI, Cloud Storage, PostgreSQL, Markitdown, StreamlitSupply Chain Analyzer– GenAI-Powered Logistics Intelligence System:- Cloud-native GenAI system for analyzing international supply chain constraints.
- Document search pipeline powered by Amazon Titan(for embedding) and OpenSearch Service (for semantic retrieval).
- Final AI responses generated using Claude 3.5 Sonnet via Amazon Bedrock, enriched with references.
- Front-end experience delivered through a secure ReactJS web app hosted on Amazon S3 + CloudFront with Amazon Cognito authentication
Tech stack: ReactJS, Python, AWS Bedrock, Claude 3.5 Sonnet, Amazon Titan, OpenSearch, AWS Lambda, Amazon API Gateway, Amazon S3, CloudFront, CognitoComputer System Validation (CSV) Platform– Pharmaceutical Industry :- Multi-agent GenAI system designed for automated validation and compliance analysis in pharmaceutical environments.
- Specialized agent roles for document analysis and regulatory compliance verification.
- Intelligent document parsing and search capabilities using AI Search and MarkitDown tools for comprehensive file processing.
- Automated validation workflows with real-time analysis and reporting for regulatory compliance. Seamless CI/CD integration with GitHub Actions for continuous deployment and testing.
- ReactJS frontend deployed on Azure web app
Tech stack: Python, Azure AI Services, GPT-4.1 mini, CrewAI Tools, AI Search, MarkitDown, GitHub Actions, Azure Web Apps, ReactJS - Stage PFE, Capgemini TSData Scientist & Artificial Intelligence Engineer·mars 2024 - août 2024 (5 mois)Casablanca, MoroccoCodebase Analysis & Documentation Generator Intelligent Code Understanding System:
- Dual-path processing system combining vector embeddings and knowledge graph construction for comprehensive codebase analysis.
- Automated directory and file extraction with entity identification for code components and relationships mapping.
- Semantic code search using Pinecone vector database for contextual code retrieval.
- Knowledge graph representation in Neo4j database for code relationship. Text-to-Cypher query for interacting with code graph structures.
Tech stack: Python, Pinecone, Neo4j, Gemini 1.5 pro, google embeddings, Recursive chunking, Langchain.
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Formations
- Master's in Mobility and Big DataFaculty of Sciences and Technologies2024Master's in Mobility and Big Data
- Bachelor's in computer engineeringFaculty of Sciences and Technologies2022Bachelor's in computer engineering
Certifications
- Microsoft Certified: Azure AI FundamentalsMicrosoft2025
- Multi AI Agent SystemsCrewAI2025
Compétences
Catégories
- Autre