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Thanks for visiting! If you're looking for an AI engineer to build intelligent systems, send me a message
Sami Khalfi
My approach to AI & data science is rooted in innovation and automation: learn continuously, build intelligently, and deploy solutions that drive real impact.
AI Engineer
Building Intelligent Solutions.
AI & Data Science Engineer from Morocco π²π¦, specializing in Generative AI, Machine Learning, and Data Science . I design and deploy intelligent systems leveraging LLMs, RAG architectures, and multi-agent workflows to solve complex problems and automate processes. From NLP pipelines to real-time data processing, I turn AI concepts into production-ready solutions.
class Engineer:
def __init__(self):
self.name = "Sami Khalfi"
self.role = "Data Scientist"
self.focus = ["AI", "RAG", "Automation"]
def innovate(self):
while True:
self.learn()
self.build()
self.deploy()
About Me
Hello, I'm Sami Khalfi - an AI Engineer specializing in
Generative AI, Machine Learning, and Data Science.
My passion lies in building intelligent solutions that leverage cutting-edge
AI technologies to solve real-world problems and drive innovation.
Graduated with my engineering degree in Knowledge Engineering and Data Science
from ESI Rabat (June 2025). I focus on developing and deploying AI solutions including
Large Language Models (LLMs), RAG systems, Computer Vision applications, Natural Language
Processing, and automated data pipelines. My experience spans from building multi-agent
systems with LangGraph to creating predictive analytics platforms.
My technical expertise includes Python, TensorFlow, PyTorch, Hugging Face Transformers,
PySpark, Cloud platforms (AWS, Azure), and automation tools (n8n, Zapier, Make).
I'm driven by creating scalable, intelligent systems that bridge the gap between
cutting-edge AI research and practical business applications - transforming data
into actionable insights and automated solutions.
β expertise
AI & Data Science Solutions
Generative AI & LLMs
Ollama, Transformers, RAG Systems, Prompt Engineering, Multi-Agent Systems (LangGraph, AutoGen), NLP
Machine Learning & AI
Scikit-learn, TensorFlow, PyTorch, Computer Vision, Time Series, Statistical Analysis, Model Optimization
Data Engineering
PySpark, Kafka, Hadoop, Airflow, ETL Pipelines, SQL/NoSQL, Cloud (AWS, Azure), Big Data Processing
β check out my work
AI Solutions I've Built
Smart Energy Dashboard - LA RADEEMA
Streamlit Multi-Agent Chatbot XGBoost Prophet Predictive Analytics
β professional journey
Experience
Freelance AI Engineer
July 2025 β PresentIndependent β Remote
- Development of NLP pipelines for text classification and automation, reducing manual processing time by 40%
- Implementation of LLM solutions for automatic content generation, achieving 30% cost reduction for clients
- Design of multi-agent architectures using LangGraph and AutoGen to orchestrate complex task automation
- Process automation via n8n and Zapier: API integrations, RPA, CRM optimization, and automated reporting systems
- Deployment of intelligent workflows for scoring, automated response, and B2B operations optimization
AI Engineer β’ Final Year Internship (PFE)
Feb 2025 β Jun 20254D Software β Rabat, Morocco
- Developed QodlyCoder: AI-powered generator for Qodly custom components using LLMs (React/TypeScript) with augmented tools
- Designed LangGraph agentic workflow integrating hybrid RAG, feedback loop, and code validation with 28.9% retrieval improvement
- Implemented CLI automating retrieval, generation, and file editing from natural language prompts
- Created sophisticated tool-augmented agents with decision-making capabilities for React code generation
- Integrated web search tools (Crawl4AI) and dual-indexing RAG system combining semantic embeddings with BM25 scoring
Data Engineer β’ Part-time
Aug 2023 β Oct 2024Indegate Consulting β Casablanca, Morocco
- Designed scalable ETL pipelines with Apache Kafka, Airflow, and Cassandra reducing reporting time by 30%
- Large-scale data integration for digital transformation with Cloud and web solutions (AWS/Azure IaaS)
- Automated report generation using Selenium, Flask, and LangChain increasing efficiency by 30%
- Developed RESTful API endpoints for data integration and created RAG-based chatbot for customer interaction
Data Scientist β’ Internship
Jul 2024 β Sep 2024LA RADEEMA β Marrakech, Morocco
- Predictive modeling to anticipate water/electricity demand using XGBoost, CatBoost, and Prophet
- Created intelligent Streamlit dashboard integrating multi-agent chatbot for energy consumption analysis
- Developed decision-making dashboards with Power BI and Python for tracking key performance indicators
- Exploited consumption and meteorological data to provide sustainable energy recommendations
Software Engineering Intern
Jul 2023 β Aug 2023Office National des AΓ©roports (ONDA) β Marrakech, Morocco
- Developed collaborative web application for online inventory management system
- Integrated real-time updates and comprehensive reporting functionalities
- Implemented user-friendly interface for multi-department inventory tracking
β contact me
Let's Work Together
intelligent automation solutions? Let's connect.