Hire the Best Resource Description Framework (RDF) Specialists

Messy data slowing your team down? I build scalable ETL/ELT pipelines and modern cloud architectures on Azure, Databricks, Fabric, and Snowflake that turn raw, chaotic data into clean, analytics-ready systems fast and reliably. I bridge the gap between fragmented data sources and production-grade dashboards, seamlessly adapting to your existing infrastructure rather than forcing an expensive rebuild. What I Can Help You With: Data Warehouse & Lakehouse Architecture: Implementing Medallion design patterns (Bronze → Silver → Gold) using Delta Lake, Microsoft Fabric OneLake, and Snowflake. Scalable ETL/ELT Ingestion: Building automated, metadata-driven pipelines via Azure Data Factory, Fabric Pipelines, Databricks (PySpark/SQL), and dbt. Real-Time Data Streaming: Architecting low-latency workflows using Apache Kafka, Azure Event Hubs, and streaming engines. Database Design & Optimization: Performance tuning, indexing, and data modeling for PostgreSQL, Azure SQL, and cloud warehouses. Proven Project Highlights: Microsoft Fabric Incremental Pipeline: Built a control-table pattern using Get Metadata, Lookup, and ForEach loops to orchestrate zero-duplicate, quarterly ingestion from SharePoint into OneLake via Dataflow Gen2. Azure/Databricks Streaming: Developed a restaurant analytics platform processing 80,000+ events/day, cutting reporting lag from 6 hours to under 3 minutes. Kafka/Snowflake Pipeline: Engineered a real-time stock market data pipeline tracking 120+ tickers with under 8 seconds end-to-end latency. I write clean, documented code your team can maintain long-term and provide transparent daily updates. Message me with your data challenge and I’ll walk you through exactly how to solve it.

Greetings, I am a Senior AI Engineer and Data Architect specializing in Machine Learning, Deep Learning, Federated Learning, LLMs, AI Automation, and Data Architecture. I focus on building scalable, secure, and production-ready AI and data solutions that solve real business problems. My core strength lies in designing end-to-end AI and data systems, from data ingestion, data modeling, and data processing to model development, deployment, automation, and business intelligence. I have strong experience in LLM-based RAG systems, computer vision, privacy-preserving AI using Federated Learning, and modern data platforms. I also work on enhancing AI security through Blockchain integration where applicable. - Key Expertise: * Data Architecture & Engineering * Data Lake, Data Warehouse, and Lakehouse Architecture * Data Modeling: Star Schema, Snowflake Schema * ETL/ELT Pipelines and Data Integration * Data Governance, Data Quality, and Metadata Management * Batch and Real-Time Data Processing * Big Data Platforms: Spark, Hadoop, Cloudera CDP * DataOps, CI/CD, and MLOps - Generative AI and Automation * LLMs, RAG systems, chatbots * AI workflow automation and integrations - Advanced AI * Federated Learning * Secure AI systems with Blockchain integration - Machine Learning * Regression models, Decision Trees, SVM * Ensemble methods: Random Forest, Gradient Boosting, XGBoost * Probabilistic and distance-based models: Naive Bayes, KNN - Deep Learning * ANN, CNN, RNN, LSTM, GAN * Model optimization and deployment - Computer Vision * Image classification, object detection, segmentation I am passionate about collaborating with clients to deliver robust, efficient, and future-ready AI and data solutions. If you are looking for a Senior AI Engineer and Data Architect who combines research-level expertise with real-world implementation, I would be happy to discuss your project.

I help businesses automate reporting, build reliable data pipelines, and develop machine learning solutions that turn raw data into actionable business insights. With 2+ years of experience, I've helped startups and businesses save time, eliminate manual work, and make better decisions through Python, SQL, automation, and AI-powered data solutions. Here's what I can help with 📊 Dashboards & Business Intelligence Looker Studio, Google Sheets, Excel, GA4 Google Ads & Search Console reporting CRM dashboards, KPI tracking, and executive reporting Interactive dashboards with automated refreshes ⚙️ Data Engineering & Automation Python scripting and ETL pipelines API integrations and data synchronization Workflow automation with n8n and Zapier Data cleaning, transformation, and scheduled reporting 🤖 Machine Learning & Predictive Analytics Classification and regression models Customer segmentation and churn prediction Forecasting and time-series analysis NLP and business analytics 🧠 AI & LLM Solutions OpenAI & Claude API integrations RAG pipelines AI-powered document extraction and summarization Intelligent business assistants and workflow automation 🧹 Data Preparation Cleaning messy spreadsheets and databases Combining data from multiple sources Fixing broken reports and improving data quality Preparing datasets for analytics and machine learning Why clients hire me ✔ Clean, maintainable, well-documented code ✔ Strong business understanding—not just technical implementation ✔ Clear communication and reliable project delivery ✔ Solutions built to be scalable, practical, and easy to maintain If you're looking for someone who can bridge the gap between business goals and technical execution, I'd be happy to discuss your project. --------------------------------------------------------------------------------------------------------------------- Data Scientist | Python Developer | SQL | Machine Learning Engineer | Data Analyst | Predictive Modeling | Classification | Regression | Data Cleaning | Data Visualization | Dashboarding | Looker Studio | Google Data Studio | Business Intelligence (BI) | Excel Dashboards | Google Sheets | Automation Specialist | n8n | Zapier | Python Scripts | ETL | Pandas | NumPy | Scikit-learn | NLP | Sentiment Analysis | Time Series Forecasting | ARIMA | Prophet | Streamlit

I build AI systems that reason, not just match vectors, From RAG-based chatbots to AI agents powered by Neo4j and OWL-based ontologies. Worked with Mercedes Benz, Philips and QpiAI before to make smart RAG and semantic knowledge systems. Hi, I'm a Ontologist + Graph Engineer with 2+ years of production experience helping startups and enterprises turn complex knowledge into smart, conversational systems Here are some of the things I know how to do: ⦁ LLMs & NLP: Raptor, GraphRAG, prompt engineering, semantic search, vector databases. ⦁ MLOps & Deployment: MLflow, DVC, CI/CD (Jenkins, CircleCI), model ensembling. ⦁ Ontology Engineering (OWL, SWRL, SKOS, Turtle): Crafting rich knowledge graphs with logical reasoning in Protégé. ⦁ RDF & Data Transformation: Structuring raw data into interconnected RDF triples. (JSON-LD, XML) ⦁ Semantic-AI Fusion: Blending symbolic reasoning with neural retrieval strategies like Raptor, Fusion, Query Expansion, Contextual Retrieval, and Re-ranking ⦁ Structured LLM Responses: Ensuring reliable, schema-aligned outputs using Pydantic for validation and API interaction ⦁ Model Integration: Leveraging OpenAI, open Source Models -LLaMA, Gemini and vector databases for efficient hybrid search. If you're building AI that needs to truly understand — not just retrieve — I’d be excited to collaborate.

SAS consultant specializing in IFRS9 & IFRS17 regulatory implementations, SAS Viya 4, and risk reporting for banks and insurers. 4+ years delivering production-grade SAS solutions across some of MENA's largest financial institutions. Most SAS freelancers do one thing — write programs or run statistics. I cover the full lifecycle banks and insurers actually need: - Regulatory implementation — IFRS9 and IFRS17 on the SAS Solution: data-quality rules, staging/ETL alignment to input specs, model-run debugging, and reporting redesign. - Platform deployment & administration — SAS Viya 4 on Red Hat OpenShift, SAS 9.4 on RHEL, Ansible installs, LDAP integration, hotfixes/patches, and environment hardening. - Automation & development — Base SAS, Macros, DI Studio ETL, Stored Process batch chains, and SQL pass-through. - Reporting & BI — SAS ODS/EXCEL, SAS Visual Analytics, and Power BI dashboards for risk, fraud, and monthly bank reviews. Recent work: redesigned the IFRS9 implementation and reporting layer for a top-tier MENA bank, deployed SAS Viya 4 on OpenShift, automated an IFRS9 batch chain with Stored Processes, and ran a full security-remediation pass on a production SAS 9.4 environment (Log4j, end-of-life components, SSH hardening) with an audit-ready register. I hold the SAS Base Programming Specialist certification and an engineering degree in computer science (BI specialization). I work fluently in English and French. Need someone who can implement the regulation, stand up the platform, AND ship the report — not just one piece? Let's talk.

Multi Agents | LangGraph | Microsoft Agent Framework | OpenAI | Azure AI Foundry | Azure AI Search | Azure Document Intelligence | Azure Functions | Azure Databricks | Microsoft Fabric | Power BI | LightGBM | XGBoost | MLFlow | Docker | FastAPI 👋 Greetings, With 6+ years of hands-on experience, I help businesses design, develop, and deploy production-grade AI and Generative AI systems — transforming raw data and unstructured content into intelligent, automated solutions that drive measurable business impact. I specialize in building end-to-end AI products that integrate seamlessly with your existing ecosystem — from data pipelines to multi-agent chatbots, FastAPI backends, and Power BI dashboards, all powered by Azure AI Services and open-source frameworks. 💡 What I Can Build for You 🧠 Multi-Agent RAG Systems: AI chatbots capable of reasoning over 1,000s of documents and databases using LangChain, AutoGen, and Azure AI Search. 📄 AI Document Processing Pipelines: Intelligent extraction and summarization from scanned or structured documents using Azure Document Intelligence & LLMs. ⚙️ End-to-End AI Workflows: From data ingestion → feature engineering → ML modeling → real-time deployment using Azure Databricks, FastAPI, and MLFlow. 📊 AI-Powered Analytics Dashboards: Interactive Power BI solutions that turn data into decisions with natural language–based insights. 🕵️ Anomaly Detection & Forecasting: Detect operational anomalies and predict trends using LightGBM, XGBoost, and PySpark. 🧩 Core Expertise Generative AI & Agentic Systems: LangChain, AutoGen, Semantic Kernel, CrewAI, OpenAI Agents, Model Context Protocol (MCP) — enabling intelligent orchestration, context sharing, and modular reasoning across AI agents. Azure AI Stack: Azure AI Foundry, Azure AI Search, Azure Document Intelligence, Azure Functions, Azure Databricks, Microsoft Fabric Machine Learning & Data Science: Python, PySpark, LightGBM, XGBoost, Scikit-learn, TensorFlow, PyTorch Vector Databases: Azure AI Search, Pinecone, Milvus, Qdrant Data Visualization & BI: Power BI, Real-Time Intelligence Dashboards App Development: FastAPI, Next.js, React, Node.js, GraphQL MLOps: MLFlow, Docker, Azure App Service, Container Apps 🌟 Why Clients Work With Me ✅ Strategic Approach: I don’t just build AI tools — I design solutions that solve real business problems. ✅ Full-Stack AI Delivery: No need to hire multiple people. I handle data, model, API, and front-end layers — end-to-end. ✅ Cloud-Native Scalability: Every system I build is designed for scalability, reliability, and performance on Azure. ✅ Collaboration & Clarity: I value clear communication, fast delivery, and transparent reporting at every stage. 💬 Let’s Build Something Intelligent If you’re looking to integrate AI into your business, enhance your data workflows, or create custom AI applications that deliver measurable ROI — I can help you make it happen. Let’s connect and discuss how we can turn your AI vision into a production-ready reality.