Waseem Alsis
Artificial Intelligence Engineer
Profile summary
Artificial Intelligence Engineer with hands-on experience in machine learning, natural language processing, and computer vision. Skilled in Python, TensorFlow, and PyTorch for building scalable AI models and pipelines. Adept at applying data analysis and deep learning techniques to solve real-world challenges, achieving measurable results such as 92% model accuracy and enhanced chatbot interactions. Passionate about deploying AI systems to production and continuous optimization.
Career highlights
Achieved 92% Model Accuracy: Built a Smart Waste Classifier CNN model with TensorFlow/Keras, achieving 92% classification accuracy in waste sorting automation.
Improved Chatbot Response Time: Developed a Rasa-based Arabic Chatbot with 85% intent recognition accuracy, improving response time by 30%.
Key skills
Professional experience
• Delivered 1-on-1 academic support in AI fundamentals, improving students' understanding and performance by 25%. • Coached students in study strategies and model-building practices, fostering confidence and reducing failure rates.
- Delivered 1-on-1 academic support in AI fundamentals, improving students' understanding and performance by 25%.
- Coached students in study strategies and model-building practices, fostering confidence and reducing failure rates.
• Assisted in designing AI-related curriculum and practical exercises, increasing classroom engagement by 30%. • Supported students with special needs, ensuring inclusive and effective learning outcomes.
- Assisted in designing AI-related curriculum and practical exercises, increasing classroom engagement by 30%.
- Supported students with special needs, ensuring inclusive and effective learning outcomes.
• Organized 10+ AI workshops and hackathons, boosting student participation in extracurricular learning. • Mentored new volunteers, improving onboarding efficiency and team collaboration.
- Organized 10+ AI workshops and hackathons, boosting student participation in extracurricular learning.
- Mentored new volunteers, improving onboarding efficiency and team collaboration.