Hi, My name is Lachhab Choukr allah

I am an engineer with a keen interest in applied mathematics and data science. I have a solid foundation in machine learning algorithms, deep learning techniques, natural language processing, Generative AI, and LLMOps.

Projects

About Me I am Lachhab Choukr Allah, a Data Scientist Engineer. My academic journey began in Morocco, where I earned a high school diploma in Mathematics. I then completed a two-year preparatory program in Mathematics and Physics before enrolling at the National School of Computer Science and Systems Analysis (ENSIAS) in Morocco. During my third year, I participated in an exchange program in Applied Mathematics, specializing in Data Science, at the National School of Computer Science for Industry and Business (ENSIIE) in France. Throughout my studies and self-training, I worked on various projects, acquiring robust theoretical and practical expertise in machine learning algorithms, deep learning techniques, natural language processing, generative AI, and LLMOps.

Get to know me!

Hi! I'm Lachhab Choukr Allah, a Data Scientist Engineer with a strong focus on AI, NLP, and automation. I specialize in developing cutting-edge projects leveraging advanced technologies like LangChain, LlamaIndex, Semantic Kernel, Microsoft's Azure, open-source LLMs, and other powerful models.

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Contact

My Skills

Python

JavaScript

SQL

Optimization

Statistics

M/DL

Hugging face

OpenAI

LangChain

LlamaIndex

Semantic Kernel

Docker

CI/CD

Microsoft's Azure

Tensorflow

Keras

Scikit-learn

MongoDB

Pinecone

Git

Linux

Google Colab

Jupyter lab/notebook

Kaggle

React.js

Express.js

Node.js

FastAPI

LLMs/LMMs/LVMs

Projects

Project 1 : MERN Stack Blog using JWT Authentication and React Context.

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Project 2 : Movie recommender systems with a collaborative filtering approach and a content-based deep learning method.

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Project 3 : LLM Full - PEFT/LoRA & Reinforcement Learning PPO fine tuning.

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Project 4 : LLMs/LVMs/LMMs Advanced Prompt Engineering & Quantization.

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Project 5 : Deploying secure and scalable Generative AI (GenAI) solutions on Azure using a Retrieval-Augmented Generation (RAG) architecture, leveraging Azure best practices, and integrating CI/CD pipelines with GitHub Actions and Docker for efficient development, deployment, and maintenance.

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Project 6 : NLP Data labeling using Snorkel.

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More projects ...