Kaneki Logo

Ilyass Ezzam

(KanekiEzz)•AI Engineer & Full Stack Developer

AI Engineer & Full Stack Developer

Building scalable systems with LLMs, RAG, and APIs. Crafting ML-powered dashboards and AI assistants that solve real-world problems.

6+
Projects
15+
Technologies
2+
Experience
5+
Certifications

About Me

I am an AI Engineer and MLOps-oriented Full Stack Developer specializing in scalable systems that harness LLMs, RAG architectures, and robust APIs. I architect end-to-end solutions, from deploying ML models via FastAPI to building responsive Next.js interfaces, ensuring seamless integration of AI capabilities into production-ready applications.

My engineering projects—such as a RAG-powered handbook assistant and energy consumption prediction platforms—demonstrate a proven track record of optimizing performance, automating workflows, and delivering user-centric innovations. Pursuing Software Engineering at 1337 Coding School, I thrive on tackling complex challenges that drive measurable impact in AI-driven products.

"If it's working don't touch it" — but I love improving and scaling systems! 😄

Key Expertise

AI Engineering

Specializing in LLMs, RAG systems, and AI integration for intelligent applications.

MLOps

Deploying and scaling ML models with Docker, APIs, and automated pipelines.

Full Stack Development

Building end-to-end web applications with modern frameworks and databases.

Education

Software Engineering

2024 - Present

1337 Coding School (42 Network)

Khouribga, Morocco

Computer Eng (Embedded)

2024 - Present

Faculty of Sciences

Ait Melloul, Morocco

Physics

2023

University Studies

Ait Melloul, Morocco

Physical Sciences

2022

Baccalaureate

Morocco

Core Technologies

Hover to pause the loop

React
Next.js
TypeScript
Python
Docker
Tailwind
Node.js
Framer
Postgres
FastAPI
MongoDB
Vercel
Git
React
Next.js
TypeScript
Python
Docker
Tailwind
Node.js
Framer
Postgres
FastAPI
MongoDB
Vercel
Git
React
Next.js
TypeScript
Python
Docker
Tailwind
Node.js
Framer
Postgres
FastAPI
MongoDB
Vercel
Git

Tech Stack

AI

LLMs
Large Language Models for natural language processing
RAG
Retrieval-Augmented Generation systems
LangChain
Framework for LLM applications
Ollama
Local LLM deployment
OpenAI API
Integration with OpenAI services

Backend

Django
Python web framework
FastAPI
Modern Python API framework
Node.js
JavaScript runtime
Express.js
Node.js web framework
PostgreSQL
Advanced relational database
MySQL
Popular relational database
MongoDB
NoSQL document database

Frontend

React
Component-based UI library
Next.js
React framework for production
HTML
Markup language
CSS
Styling language
Tailwind CSS
Utility-first CSS framework

DevOps

Git
Version control system
Docker
Containerization platform
Linux
Operating system

Licenses & Certifications

Statement of Accomplishment – Working with the OpenAI API

Jan 2026

DataCamp

Credential ID: 45,355,308

Open APIChatGPTAI Integration

Introduction to Python

Oct 2025

DataCamp

Credential ID: 43,767,412

PythonPandasData Structures

Intermediate Python

Dec 2025

DataCamp

Credential ID: 43,838,796

PythonNumPyMatplotlib

Data Analyst Associate

Nov 2025 - Nov 2027

DataCamp

Credential ID: DAA0017251087269

SQLData AnalysisStatistics

C Certification

May 2024

CodinGame

Credential ID: lAH2X9Kr9RTACLt47todoA

CAlgorithmsProblem Solving

ZeroOps (Docker)

2025

ZeroOps

DockerContainerization

A DevOps Fundamentals Workshop

2025

DevOps Workshop

DevOpsCI/CD

Featured Projects

1337 Handbook Assistant

RAG-powered web app using LangChain and local LLMs for question-answering. Features document ingestion, embeddings, and semantic search with API endpoints.

LangChainLLMsRAGFastAPINext.js

Energy Consumption Prediction Platform

Full-stack platform predicting building energy consumption using ML models. Built with FastAPI for real-time predictions and Next.js dashboard.

FastAPIMLNext.jsPython

Admin Dashboard

Full-stack admin dashboard with authentication and role-based access. Backend APIs with Django, frontend with TypeScript and Material UI.

DjangoTypeScriptMaterial UIPostgreSQL

42 Profile Viewer

Chrome extension for analyzing and displaying 42 student profiles. Automated data extraction with real-time UI rendering.

JavaScriptChrome APIReact

WeCraft Landing Page

Modern, responsive landing page built with Next.js and Tailwind CSS. Focused on performance and reusable components.

Next.jsTailwind CSS

Let's Build Something Amazing

Ready to collaborate on AI-powered projects or discuss full-stack development? I'd love to hear from you.