Mahmoud Hammouri

Freelance AI Trainer at AI Hub

Jun 2026 – Present

• Delivering practical AI training for B2C and B2B audiences
• Covering AI fundamentals, generative AI tools, prompt engineering
• Business-focused AI applications

Senior Machine Learning Engineer at Leading Point Software

Oct 2022 – Present

• Provide cross-departmental AI consultation in R&D department
• Develop proofs-of-concept (PoCs) for integrating AI technologies
• Lead innovation tracks in computer vision, NLP, LLMs, and workflow automation
• Deliver organization-wide AI enablement initiatives
• Led PoC development for VisionPoint AI using YOLO and Tesseract OCR (mAP@50-95 > 96%)
• Contributed to Voice of Customer multilingual virtual assistant (ASR, Speech Emotion Recognition, Sentiment Analysis, Image Captioning, OCR)
• Led development of AI-powered conversational analytics feature in Sales-point
• Developed AutoML Web Platform for dataset training and evaluation
• Built RAG Application for semantic search over documents
• Created AI Agent for IT Operations ticketing system
• Designed SDLC Agent System for automating software development lifecycle
• Implemented Proposal Generation AI Agent using LLMs
• Delivered AI training for non-technical departments (HR, Sales, Finance)
• Trained staff on n8n workflow automation platform
• Supervised university student internship projects

Machine Learning Instructor at The Hope International

Jun 2022 – Present

• Deliver comprehensive training programs in Python, Machine Learning, and Deep Learning
• Design structured, hands-on courses for real-world AI applications
• Teach Python fundamentals, data gathering, EDA, preprocessing
• Cover supervised and unsupervised ML algorithms and model evaluation
• Guide students through end-to-end ML project development and deployment
• Train on deep neural networks, CNNs for computer vision, RNNs/LSTMs for sequence modeling
• Cover NLP topics including text processing, word embeddings, text classification
• Introduce fundamentals of Large Language Models (LLMs) and RAG techniques
• Guide students in building LLM-powered applications using LangChain

AI Engineer at Cloud Solutions | Nextwo

Jul 2021 – Oct 2022

• Worked on AI-driven healthcare projects for disease prediction and patient care automation
• Led MRI image data preparation and trained U-Net model for tumor segmentation using TensorFlow
• Built SVM classifier with 92% accuracy for multilingual healthcare feedback analysis (Arabic and English)
• Conducted responsibility attribution by analyzing negative sentiment
• Integrated EasyOCR to extract text from scanned medical documents
• Developed REST API using Flask for OCR system integration

System Developer & AI Researcher at Taqneen Software

Aug 2019 – Jun 2021

• Developed AI-powered solutions for education sector
• Built Arabic Speech Recognition System using Kaldi Toolkit, reduced WER from 0.72 to 0.32
• Built custom Word2Vec embedding model using Gensim for Arabic text similarity
• Applied Latent Dirichlet Allocation (LDA) for topic classification from Arabic learning materials
• Built sentiment analysis models from audio (75% accuracy) and text (94% accuracy) using SVM
• Fine-tuned R(2+1)D model for action recognition from video using PyTorch
• Designed and exposed AI models via RESTful APIs using Flask