I'm Mohamed Amine Karmous

AI & Software Engineer

Passionate AI Engineer dedicated to building intelligent solutions that drive innovation. Specializing in machine learning, natural language processing, and full-stack AI development. Let's transform ideas into impactful applications.

aminkarmous2000@gmail.com

+974 51666891

github.com/Amine809

About Me

( 01 )

AI & Software Engineer specializing in LLM, NLP and its Arabic applications, LLM fine-tuning, chatbots, Machine learning, deep learning and computer vision. Experienced with Python, PyTorch/TensorFlow, Hugging Face, FastAPI, LangChain/LangGraph, n8n, and cloud deployment (Azure/AWS/GCP). Skilled in building scalable AI models and APIs for real-world applications with expertise in MLOps, microservices architectures, and production-ready deployment.

03

Years of experience

165+

Happy Clients

1800+

Project Completed

Language

English

French

Arabic

Spanish

Experience

( 02 )

11/2025 – Present

AI & Robotics Engineer

Capital Technology Solutions

Fulltime

Built and deployed enterprise AI systems using LangChain, OpenAI, RAG, and Pinecone. Developed advanced autonomous intelligence for Promobot V3. Designed large-scale sales and footfall forecasting models for Qatar Museums. Built AI-driven automotive analytics platform for Al Manaï dealership.

01/2025 – 10/2025

Full-Stack Generative AI Engineer

TANIT AI

Fulltime

Built medical fertility-assistant chatbot using React, Spring Boot, FastAPI, and OpenAI/Claude models. Designed medical entity extraction with SciSpaCy and spaCy. Developed LangGraph multi-agent flows and microservices with Azure DevOps CI/CD pipelines.

07/2024 – 12/2024

AI Full Stack Developer

Horizop Energy

Fulltime

Built full-stack Angular + Spring Boot platform for EV license plate detection. Developed PyTorch-based segmentation model with 95% accuracy for Yolov8. Created ML regression model for EV consumption prediction with 91% accuracy. Added MLOps with MLflow and Kubernetes deployment.

03/2024 – 07/2024

AI and Computer Vision Developer

OMNILINK

Fulltime

Built table detection and recognition system using YOLOv8 and PaddleOCR achieving 98% precision. Contributed to advanced OCR model evaluation and dataset annotation pipeline. Integrated MLOps workflow using Kubeflow and MLflow.

06/2023 – 09/2023

Mobile and AI Application Developer

LAB-IT

Fulltime

Built complete delivery app with Flutter + Firebase. Designed hybrid recommendation system using TF-IDF, collaborative filtering, Word2Vec/FastText embeddings.