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Semab Ali has three years of work experience. In 2020, Semab worked as a Junior Full Stack Developer and Werkstudent - Software Developer at Operaize, where they developed and deployed spring boot web applications on AWS EC2 and Elastic Beanstalk, and created frontend applications with Vue.js and Java Spring boot. In 2019, Semab worked as a Studentische Hilfskräfte at Fraunhofer FIT, where they developed a load forecasting system using deep learning models in Python, analyzed electric vehicles charging patterns, and optimized the system to be able to run on embedded devices. In 2018, Semab worked as a Junior Data Scientist at CareCloud, where they worked on developing a chatbot for doctors, implemented speech to text conversion with high accuracy, and created automated HPI for doctors based on symptoms presented by a patient using artificial intelligence and machine learning.

Semab Ali completed a Bachelor of Science in Computer Science at COMSATS University Islamabad from 2014 to 2018. Semab then pursued a Master of Science in Computer Science at The University of Bonn from 2019 to 2022. Additionally, they have obtained various certifications from Coursera, including Fundamentals of Scalable Data Science (2019), Python for Data Science and AI (2019), Structuring Machine Learning Projects (2018), Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (2018), and Neural Networks and Deep Learning (2018).