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.
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
100+
Happy Clients
100+
Project Completed
Language
English
French
Arabic
Spanish
Experience
( 02 )
11/2025 – Present
AI & Robotics Engineer
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
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
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
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
Fulltime
Built complete delivery app with Flutter + Firebase. Designed hybrid recommendation system using TF-IDF, collaborative filtering, Word2Vec/FastText embeddings.
Education & Skills
( 03 )
Artificial Intelligence Engineering Degree - 2025
Specialized in AI, Machine Learning, and Deep Learning from Epi Digital School
Bachelor's Degree in Computer Science - 2022
Graduated from Isitcom with focus on software development and computer science fundamentals
Python
PyTorch
TensorFlow
LangChain
FastAPI
Kubernetes
Docker
Azure
OpenAI API
React
Next.js
Spring Boot
Latest Works
( 04 )
multi agent radiology assistant
Client: qatar hospitals
Multi-agentic ai assistant for hotel bookings and recommendation
Client: St regis doha
Almanai-group-heavy equipements sales forecasting and recommendations
Client: almanai-group
Amara Hospitality booking agent
Client: Katara-hospitality
AI trip planner multi-agent
Client: freelancing project
AI multi agent cv recruitement system
Client: freelancing project
Cats Breed prediction
Client: personal project
Cars number plate detection and recognition
Client: Horizop energy
diabet disease prediction
Client: Freelancing project
Multi-agent-ai fertility specialised assistant
Client: Tunsian and north african clinics
Toxic comment detection application
Client: Smart conseil company project