Available for AI & MLOps Opportunities

Hello, I am
Amine Zairi

Stack:  

Data Science Engineer passionate about designing scalable, production-oriented artificial intelligence solutions. Expertise in RAG systems, semantic search, NLP, Computer Vision, and Docker Microservices architectures.

Explore Projects Test AI Console Download Resume (PDF)
5+ Advanced AI Projects
77.8% LSF Model Accuracy
2x NVIDIA Certified
ai_engineer_profile.py 
class AIEngineer:
    def __init__(self):
        self.name = "Amine Zairi"
        self.degree = "Data Science & AI Engineering"
        self.core_focus = [
            "RAG Systems & Vector DB (FAISS)",
            "Computer Vision & 3D Avatars",
            "NLP & Transformer Models",
            "Production MLOps & Docker"
        ]
        self.location = "Mahdia, Tunisia"

    def deploy_solution(self, problem):
        return f"Robust AI pipeline for {problem}"

# Instantiating profile...
amine = AIEngineer()
print(amine.deploy_solution("Scalable RAG & Vision"))
<CLI Mode />

Interactive AI Console Terminal

Navigate my resume via command line or ask questions to the built-in RAG simulator!

amine@ai-lab:~ (zsh)
Type help for commands
Welcome to Amine Zairi's Interactive Portfolio CLI [v2.4.0-ai]
Type help for available commands, rag-query <question> to query Amine's CV, or gui to scroll visual pages.
--------------------------------------------------------------------------------
amine@ai-lab:~$
Quick prompts:
<Profile />

About Amine Zairi

State-certified Engineer in Computer Engineering, Data Science & Artificial Intelligence (ESPRIM Monastir, 2026), backed by a solid initial degree in Computer Networks (ENICarthage).

My expertise ranges from deep learning model research and architecture to production deployment using Docker microservices. I have designed high-performing RAG systems, real-time video analysis pipelines with 3D avatars, and automated document extraction pipelines.

AI & LLM / RAG

FAISS Semantic Search, Sentence Transformers, Containerized RAG, LoRA & PEFT.

Computer Vision & 3D

MediaPipe, Three.js, Inception-1D models, Facial & Gesture Recognition.

Microservices Architecture

FastAPI, Docker Compose, MinIO S3, Redis/RQ, PostgreSQL, Asynchronous processing.

NVIDIA Double Certification

Transformer-Based NLP Applications & Fundamentals of Deep Learning.

<Tech Stack />

Technical Skills

Technologies and tools mastered from modeling to production.

Machine Learning & AI

PyTorch TensorFlow FAISS BERT Sentence-Transformers MediaPipe CNN & Autoencoders LoRA / PEFT RAG / NLP

Backend & Microservices

Python FastAPI Node.js REST APIs Redis / RQ Task Queues & Workers SQL & Async Processing

Frontend & 3D Rendering

React Next.js Three.js (3D) Vite TypeScript JavaScript (ES6+) HTML5 / CSS3 React Native

Databases & Data Storage

PostgreSQL MinIO (S3) MongoDB Oracle Pandas OCR (Pytesseract) Poppler-utils

DevOps, MLOps & Tools

Docker Docker Compose Git / GitHub CI/CD Pipelines Linux / Server Admin System Optimization
<Showcase />

Featured Projects

High-impact engineering projects in AI, RAG, and Web Systems.

Final-Year Project (PFE)

BridgeSign - LSF Recognition & 3D Avatar

Real-time French Sign Language (LSF) recognition web platform. Built a proprietary dataset of 4,983 videos (261 signs), trained an Inception-1D model achieving 77.79% Top-1 accuracy, with real-time 3D avatar rendering.

Accuracy: 77.79% Top-1 Avatar Rendering: MediaPipe & Three.js
Python TensorFlow MediaPipe Three.js React Docker
Engineering Internship

Text Miner RAG - Semantic Search System

Production-ready RAG system combining semantic search with FAISS vector indexing, sentence-transformers, intelligent document extraction pipeline, and containerized asynchronous microservices architecture.

Vector DB: FAISS Index Architecture: Docker Microservices
FastAPI FAISS Sentence-Transformers PostgreSQL MinIO Redis/RQ
Academic Project

Multimodal Violence Detection Platform

Automated content moderation platform combining BERT (text) and CNN (images & video) models for detecting violent or harmful media.

TensorFlow BERT CNN React Node.js MongoDB
Academic Project

Voice Emotion Detection System

Designed and trained a hybrid CNN + Autoencoder model for spectral audio signal analysis and vocal emotion classification.

Python CNN Autoencoders PyTorch / TensorFlow Audio Processing
Academic Project

Sahel Metro Tracking System

Real-time web application for live Sahel metro geographic tracking and accurate station arrival time estimation.

JavaScript Node.js WebSockets Live Tracking
Freelance

E-Commerce Platform (mecool.tn)

Full-featured online store engineered from backend database architecture to secure cloud production deployment.

Next.js Prisma PostgreSQL Tailwind CSS
<Trajectory />

Professional Experience

A continuous journey in software engineering and AI solutions.

Feb 2026 – June 2026

AI Engineer — Final-Year Project (PFE)

Tradrly — Mahdia, Tunisia

  • Architected and developed BridgeSign, a real-time French Sign Language (LSF) recognition web platform.
  • Built a proprietary dataset of 4,983 videos (261 signs) and trained an Inception-1D model achieving 77.79% Top-1 accuracy.
  • Engineered a 3D avatar for real-time visual interpretation using MediaPipe and Three.js.
  • Deployed production containerized application via Docker.
July 2025 – August 2025

Software Development & AI Intern

Tradrly — Mahdia, Tunisia

  • Engineered Text Miner RAG: production-ready RAG system combining semantic search & document processing.
  • Developed an asynchronous document-processing pipeline with FAISS vector index & sentence-transformers.
  • Deployed a microservices architecture via Docker Compose (FastAPI, React+Vite, MinIO, Redis/RQ, PostgreSQL).
July 2019 – May 2022

IT Manager

Iberostar Royal Mansour — Mahdia, Tunisia

  • Ensured full maintenance and administration of IT software & hardware infrastructure.
  • Managed technical incidents and optimized existing enterprise systems for high uptime.
Sept 2017 – June 2019

Computer Science Teacher

Lycée Ibn Rachik — Mahdia, Tunisia

  • Taught programming fundamentals, algorithm design, and software development concepts.
July 2013 – June 2017

Network & Systems Technician

Hôtel Mahdia Palace — Mahdia, Tunisia

  • Managed workstations, peripheral hardware, and network infrastructure maintenance.
<Accreditations />

Certifications

Building Transformer-Based Natural Language Processing Applications

NVIDIA — Certificate of Competency

November 2025

Fundamentals of Deep Learning

NVIDIA — Certificate of Competency

February 2024
<Education />

Degrees & Education

Engineering Degree in Computer Science, Data Science & AI

ESPRIM — Private Higher School of Engineering of Monastir

Sept 2023 – June 2026

Bachelor's Degree in Computer Networks

ENICarthage — National Engineering School of Carthage

Obtained June 2010
<Contact />

Let's Work Together

Have an AI project, RAG system, Vision challenge, or job opportunity? Reach out!

Direct Email amine.ezzairi@gmail.com
LinkedIn linkedin.com/in/amine-zairi
Phone +216 55 695 879
Location Mahdia, Tunisia