Fawad Hassan

Machine Learning Engineer @ SlashNext

About Fawad Hassan

Fawad Hassan is a Machine Learning Engineer at SlashNext, specializing in computer vision and natural language processing. He holds a Bachelor of Science in Computer Science from the National University of Computer and Emerging Sciences and has experience in data analysis and career preparation.

Work at SlashNext

Fawad Hassan has been employed at SlashNext since 2020, where he serves as a Machine Learning Engineer. His role involves addressing complex computer vision tasks and developing solutions to counter cyber phishing attacks. Prior to his current position, he worked as an Associate Data Analyst at SlashNext for three months in 2020. His experience at SlashNext highlights his commitment to advancing machine learning applications in cybersecurity.

Education and Expertise

Fawad Hassan studied at the National University of Computer and Emerging Sciences, where he earned a Bachelor of Science in Computer Science from 2016 to 2020. His academic background laid the foundation for his expertise in machine learning, particularly in data extraction, cleaning, feature engineering, model training, and validation within the natural language processing (NLP) domain. He has a strong focus on deep learning techniques.

Background

Fawad Hassan is based in Lahore, Punjab, Pakistan. His professional journey includes a brief tenure as a Career-Prep Fellow at Amal Academy in 2021, where he worked for two months. This experience contributed to his understanding of career development in the tech industry and further shaped his skills in data analysis and machine learning.

Specialization in Cybersecurity

Fawad Hassan specializes in developing natural language processing (NLP) solutions aimed at combating cyber phishing attacks. His work focuses on leveraging machine learning techniques to enhance security measures in digital environments. This specialization reflects his commitment to applying technology in practical and impactful ways.

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