Hire the Best Reinforcement Learning Freelancers
in Morocco

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.

Are you looking for data-driven solutions to solve complex business problems? I specialize in Machine Learning, Data Mining, and Statistical Modeling using R, R Shiny, and Python (FastAPI) to build smart, scalable, and insightful applications. With strong hands-on experience in R/RStudio, Python (Scikit-learn), and FastAPI, I deliver end-to-end solutions — from data preprocessing and feature engineering to model deployment and interactive dashboards. 🔍 My Machine Learning Services Include: Predictive Modeling for Business Optimization Feature Engineering & Data Transformation Classification, Clustering, and Regression Association Rule Mining & Affinity Analysis Supervised & Unsupervised Learning Hypothesis Testing and Correlation Analysis Software Defect Prediction & Natural Language Inference Time-Series Forecasting & Trend Analysis Customized Data Visualizations in R, Python, or Shiny Model Deployment via FastAPI or Interactive R Shiny Dashboards 📊 Tools & Technologies I Use: Languages: R, Python Libraries: Scikit-learn, Pandas, Numpy, ggplot2, plotly Frameworks: FastAPI, R Shiny, RMarkdown ML Algorithms: Linear & Logistic Regression k-Nearest Neighbors (kNN) Decision Trees & Random Forest K-Means Clustering Naive Bayes Neural Networks & Deep Learning Support Vector Machines (SVM) Reinforcement Learning (where applicable) 🛠 I Work With: Business analysts, researchers, and startups Teams needing rapid prototype dashboards (R Shiny) Organizations deploying ML models with APIs (FastAPI) Whether you need a predictive model to forecast sales, a clustering algorithm to segment customers, or a full-featured dashboard to visualize insights — I’m here to help you turn data into decisions. 📩 Let’s work together to bring your data to life.

Hi, I'm Hamza, a data professional specializing at web scraping. I've got experience turning raw data into useful insights in the world of data science. I'm careful and skilled at blending technology with information, especially when it comes to web scraping. Not just that, I'm also here to help out with any challenges in the code and make sure data gets extracted and analyzed smoothly. I'm all about making sure projects get done on time If you're looking for someone dedicated to excellence and teamwork, I'm here to make your data projects a success!

I take on AI projects that others find too complex — end-to-end systems where the challenge isn't just the model, but making everything work together at scale. If the problem is hard, that's where I do my best work. Over the years I have architected and delivered full-cycle AI systems covering deep learning, LLMs, computer vision, NLP, MLOps infrastructure, and cloud-native deployments. I don't just build models — I build systems that work reliably at scale. I am the right fit if your project involves a complex AI system that needs to be built right, not just fast, multiple moving parts such as data pipelines, model training, APIs, and deployment that need to work together seamlessly, a challenging problem where off-the-shelf solutions fall short, or long-term thinking around performance, cost, and maintainability. My core expertise spans deep learning and LLMs including transformer models, BERT/GPT fine-tuning, and RAG pipelines using PyTorch, TensorFlow, and JAX. I work extensively in computer vision with YOLO, R-CNN, and Vision Transformers, as well as NLP, semantic search, and conversational AI powered by vector databases like Pinecone and Milvus. On the infrastructure side, I build end-to-end MLOps pipelines using Kubeflow, MLflow, and DVC, with CI/CD for models via GitHub Actions and GitLab, and monitoring through Prometheus and Grafana. I deploy across AWS SageMaker, Azure ML, and Google Vertex AI using Docker and Kubernetes, with a strong focus on cost-optimized GPU and TPU workloads. I also have deep experience in data engineering with ETL pipelines, feature stores, real-time streaming using Spark and Flink, and warehousing on Snowflake and BigQuery. For AI-powered APIs and SaaS products, I work with FastAPI, Node.js, Redis, PostgreSQL, and MongoDB. Additional expertise includes reinforcement learning, diffusion models, GANs, federated learning, model quantization, edge AI with TensorFlow Lite and CoreML, and AI explainability using SHAP and LIME. I bring strong communication, clean documentation, and a consistent track record of delivering complex AI projects on time. If you have a challenging end-to-end AI project, I would love to hear about it.

Hey there! I’m a financial engineer with a major in computer science. I blend the worlds of finance, data, and tech to build smart, data-driven solutions. I work on everything from financial and statistical modeling to AI-powered trading strategies. I specialize in Python development, whether it's for data analysis, automation, or building custom tools in the financial context. I dive deep into financial analysis using different available libraries. On the AI side, I design intelligent trading algorithms and apply deep learning (TensorFlow, Keras) for predictive and forecasting models. I’m also into reinforcement learning integrations with trading and I would love to explore other RL applications in finance. If you're working on something exciting or have an idea that touches on finance, data science, or AI, let’s connect. I’m always up for collaborating on meaningful projects in my area of expertise!

Are you looking to develop an ML or DL model for a predictive, classification, optimization, and/or generative task? Are you striving for the most effective ML/DL solution? Do you seek to develop a decision-making model tailored to your unique requirements? I am confident that my skills can significantly contribute to bringing your project to its optimal version. I hold a Ph.D. in Artificial Intelligence, with strong expertise in machine learning and deep learning across a variety of applied research projects. My experience includes developing AI models for many tasks like Natural Language Processing (NLP), sentiment analysis, predictive maintenance, trajectory planning, and production scheduling, utilizing many algorithms such as SVM, KNN, LSTM, CNN, GANs, AE, VAE, deep reinforcement learning (DQN and PPO), graph neural networks (GAT, GIN, GRUConv, and R-GCN), and hybrid algorithms. In addition to technical development, I can also assist with scientific writing, proofreading, and improving the clarity and structure of technical or academic documents, including research papers, reports, theses, and project documentation. Driven by a passion for staying abreast of AI trends, I am committed to continually expanding my skill set to deliver optimal results.