Available immediately

Hello, I'm

Zakaria Kassemi

Data Scientist & AI Engineer

I build intelligent ML systems, RAG chatbots, and production data pipelines — from analysis to deployment on Azure with Docker & Kubernetes.

scroll
5+
ML Projects
3
Certifications
34
Learning Topics
10
AI Games
6+
ML Domains

Featured Projects

Selected work across machine learning, data science, NLP, and AI automation

SHIFAA MAROC — Arabic Medical Assistant & Mental Support
Medical AINLP

SHIFAA MAROC — Arabic Medical Assistant & Mental Support

An intelligent, secure, and adapted AI medical assistant tailored for Moroccan and Arabic-speaking users. Features multimodal CNN modules (EfficientNet/DenseNet for X-Ray and dermatology) and a hybrid RAG pipeline with a custom distress detection model.

90%+ Accuracy, <2s Latency
Backend PythonVision: PyTorch, MONAIRAG: FAISS, BM25Déploiement Docker
Synapse Studio V3 — Offline Agentic Swarm
AI AgentsGenerative AI

Synapse Studio V3 — Offline Agentic Swarm

An advanced asynchronous multi-agent platform running 100% offline. Multiple specialized AI agents (Strategist, Architect, Engineer, Critic) collaborate and debate concurrently in real-time, managed by a mathematical cosine-similarity consensus engine.

Cosine Similarity Consensus, Real-time WebSocket Streaming
Multi-Agent SystemAsynchronous SystemsFastAPI WebSocketsConsensus Engine
AI Knowledge Explorer
NLPGenerative AI

AI Knowledge Explorer

An interactive AI-powered web app utilizing the Google Gemini API to discover, test, and deepen knowledge on any academic or scientific topic. Features smart voice/text search, a 3-level adaptive evaluation system (🟢 Easy QCM, 🟠 Medium True/False, 🔴 Hard open question with semantic response assessment), and an analytical progress dashboard.

Semantic Answer Scoring, Infinite AI Concept Generation
Generative AIAdaptive LearningSpeech RecognitionSemantic Assessment
Moroccan Legal Assistant — Custom RAG Chatbot
NLPGenerative AI

Moroccan Legal Assistant — Custom RAG Chatbot

An innovative legal AI assistant leveraging RAG (Retrieval-Augmented Generation) to provide personalized legal guidance based on Moroccan law. Covers 5+ legislative corpuses with document ingestion, vector retrieval (FAISS), and context-aware response generation.

5+ Legislative Corpuses Ingested, FAISS Semantic Ingestion
RAGLangChainFAISSLegal Tech
Brain Tumor Detection — Medical Computer Vision
Computer VisionMedical AI

Brain Tumor Detection — Medical Computer Vision

A Deep Learning medical imaging system for automated brain tumor classification from MRI scans. Reached over 95% accuracy in 4-class multi-class classification, featuring data preprocessing, augmentation, and Grad-CAM explainability heatmaps.

95%+ Classification Accuracy, 4-Class Classification
Deep LearningCNNTensorFlowMedical Imaging
Don Du Sang — Blood Donation Management Platform
Backend

Don Du Sang — Blood Donation Management Platform

A modern web platform optimizing blood donation management in Morocco. Connects donors, recipients, blood banks, and hospitals in real-time with live inventory tracking and analytical dashboards.

Real-time Stock Inquiries, Installed in Healthcare Center
Web DevelopmentChart.jsReal-time TrackingHealthcare Systems

Skills & Expertise

Technologies and frameworks I work with

Machine Learning

Scikit-learnPandasNumPyPower BIAirflowTalendNiFi

Deep Learning

PyTorchTensorFlowKerasMONAIOpenCVYOLODetectron2Grad-CAM

Generative AI & LLMs

GPT-4ClaudeGemini ProLLaMA-3MistralLoRA/PEFTChain-of-ThoughtFAISSLangChainBM25RRFCross-encoderAraBERTSpaCyNLTKWhisperHuggingFace

Python & Data

PythonFastAPIDjangoReactHTML5/CSS3Node.jsLaravelREST API.NET Core MVC

SQL & Databases

PostgreSQLMySQLOracleSQL ServerFAISS (vectoriel)

Data Science Tools

Apache SparkHadoop (notions)Kafka (streaming)Airflow (orchestration)ETL/ELT pipelinesSnowflakeBigQueryData Modeling (Star/Snowflake Schema)

Cloud & MLOps

AWSDockerKubernetesGitHub ActionsCI/CDn8nZapierStreamlit Cloud

Methodologies

Agile/ScrumRemote CollaborationSystem DesignTechnical DocumentationProblem Solving

Services

Tailored AI & Data Science solutions for your business needs

Basic
$299

Data Analysis & Visualization

Exploratory data analysis, statistical insights, dashboard creation, and business intelligence reports

Pro
$499

Custom ML Model

End-to-end machine learning pipeline: data analysis, feature engineering, model training, evaluation, and deployment

Enterprise
$999

RAG & AI Automation System

Complete AI system with RAG chatbots, document processing, production deployment on Azure with Docker/Kubernetes

Frequently Asked Questions

Who is Zakaria Kassemi?

Zakaria Kassemi is a Data Scientist and AI Engineer (Bac+5 in Data Science & AI) based in Morocco. He specializes in applied machine learning, data analysis, and production model deployment. Certified by DeepLearning.AI and IBM, he has experience building RAG chatbots, deploying ML models on Azure with Docker/Kubernetes, and structuring complex data for healthcare and business applications.

I need a Data Scientist or AI Engineer for my project — can I hire Zakaria?

Yes. Zakaria Kassemi is available immediately for full-time positions, freelance projects, and consulting — remotely worldwide. He builds custom ML models, RAG systems, data pipelines, and production-grade APIs. Email zakariakassemi65@gmail.com or use zakariakassemi.com/contact.

What services and skills does Zakaria Kassemi offer?

Custom ML models, RAG chatbots with OpenAI GPT, data analysis & visualization, production model deployment (Azure, Docker, Kubernetes), ETL pipelines, and business data solutions. Stack: Python, scikit-learn, TensorFlow, PyTorch, FastAPI, PostgreSQL, Docker, Kubernetes, Azure.

What are Zakaria Kassemi's key project results?

Built a RAG chatbot with OpenAI GPT for document Q&A (semantic search + prompt engineering), reduced administrative workload by 35% for 10 users via PostgreSQL analytics, deployed ML models on Azure with Docker/Kubernetes for real-time APIs, and built a medical data platform with first-month production adoption.

How can I contact or hire Zakaria Kassemi?

Email zakariakassemi65@gmail.com, call/WhatsApp +212 705 701 881, check his GitHub (github.com/zakariakassemi2000), or use the contact form at zakariakassemi.com/contact.