Khizar Sultan
About Khizar Sultan
Khizar Sultan is a Data Scientist and AI/ML Engineer with a strong academic background in Computer Science and Data Science. He has made significant contributions to cybersecurity and has experience across various sectors, utilizing advanced machine learning techniques and tools.
Work at SlashNext
Currently, Khizar Sultan serves as a Data Scientist and AI/ML Engineer at SlashNext, a role he has held since 2022. In this position, he focuses on developing advanced machine learning models to enhance cybersecurity measures. His work contributes to the company's mission of preventing malicious activities and safeguarding user data.
Education and Expertise
Khizar Sultan holds a Bachelor of Science in Computer Science from the National University of Computer and Emerging Sciences, completed between 2016 and 2020. He further advanced his education by obtaining a Master of Science in Data Science from the University of Management and Technology from 2021 to 2023. His educational background equips him with a strong foundation in deep learning, machine learning, and data science.
Background
Khizar Sultan began his academic journey at Divisional Public School & College, where he earned an Associate's degree in Engineering from 2014 to 2016. He has gained practical experience through various roles, including a Research Assistant position at the National University of Computer and Emerging Sciences and internships at Nextbridge Ltd. and ADDO AI.
Achievements in AI and Machine Learning
Khizar Sultan achieved notable results in SMS text classification, attaining 98% precision and 97% recall using a pre-trained BERT model. His efforts have significantly contributed to user safety by preventing malicious SMS messages, which has safeguarded an estimated $1.5 million annually. He has also delivered over 30 open-source projects on GitHub, reflecting his commitment to community contributions.
Technical Skills and Specializations
Khizar Sultan specializes in a variety of machine learning techniques, including regression, classification, and clustering. He is proficient in natural language processing tasks and has experience with deep learning frameworks such as neural networks, CNN, RNN, LSTM, and GAN. His expertise extends to cloud computing and MLOps, where he has worked with platforms like Azure, AWS, and GCP.