About

Saif Khan is a highly motivated and results-driven Machine Learning and NLP Engineer with a passion for developing innovative technology that can improve the lives of people. He has over 4.86 years of experience in the field and is currently working at ser group in the same capacity. Saif's previous experience includes working as a Master Thesis and Working Student at the German Aerospace Center (DLR), where he developed an ML pipeline to classify and tag sounds to observe their effect on people's sleep. This project aimed to remove the need for manual classification and tagging, saving valuable time. He also worked as a Working Student at the Berlin School of Economics and Law, where he was responsible for cleaning datasets and creating NLP transformer models to classify and summarize text sequences. Saif's work at the Berlin School of Economics and Law led to the creation of a new summary-based Explainable framework to explain the output of an NLP model in classification tasks, which was published in ICIS. Saif holds a Master's degree in Human-Computer Interaction from Bauhaus-Universität Weimar and a Bachelor of Technology (B.Tech.) from Jamia Millia Islamia. He has a strong proficiency in both NLP and ML and is continuously learning and improving his skills to stay up-to-date with the latest developments in the field. Saif's goal is to develop and improve technology for the betterment of humanity through continuous learning and innovative techniques. He is a self-motivated, detail-oriented, and results-driven individual who thrives in a challenging work environment. Saif is an excellent team player and has excellent communication skills, making him an asset to any team.