Haris Shahzad
About Haris Shahzad
Haris Shahzad is a Machine Learning Engineer with experience in developing AI-integrated solutions in computer vision and natural language processing. He has worked at Quid Sol and currently serves at SlashNext, focusing on deep learning pipelines and machine learning systems.
Work at SlashNext
Haris Shahzad is currently employed as a Machine Learning Engineer at SlashNext, where he has been working since 2023. His role involves developing and implementing machine learning models and solutions, contributing to the company's efforts in enhancing AI capabilities. His work focuses on leveraging advanced algorithms to improve system performance and accuracy.
Previous Experience at Quid Sol
Before joining SlashNext, Haris Shahzad worked at Quid Sol in various capacities. He started as a Machine Learning Intern in 2021 for one month, followed by a position as a Machine Learning Trainee Engineer for five months in 2021. He then advanced to the role of Associate Machine Learning Engineer in 2022, where he worked for ten months. His experience at Quid Sol involved building AI-integrated solutions, particularly in computer vision and natural language processing.
Education and Expertise
Haris Shahzad studied at COMSATS University Islamabad, where he earned a Bachelor's degree in Computer Science from 2018 to 2022. Prior to that, he attended Concordia College from 2015 to 2017, achieving a High School Diploma. His educational background provides a solid foundation in engineering principles and computer science, which he applies in his machine learning projects.
Technical Skills and Projects
Haris Shahzad has experience in developing end-to-end deep learning pipelines, focusing on both cloud and edge-based machine learning systems. His expertise includes building AI-integrated solutions in the fields of computer vision and natural language processing. This technical skill set enables him to tackle complex challenges in machine learning and contribute effectively to his team's objectives.