Aarif Noordeen

Machine Learning Engineer @ Mad Street Den

About Aarif Noordeen

Aarif Noordeen is a Machine Learning Engineer with a Bachelor of Engineering in Computer Science from SSN College of Engineering. He has gained experience through various internships and has worked at Mad Street Den since 2019.

Current Role at Mad Street Den

Aarif Noordeen serves as a Machine Learning Engineer at Mad Street Den, a position he has held since 2019. His role involves developing and implementing machine learning algorithms and models to enhance the company's AI-driven solutions. Based in the Chennai Area, India, he contributes to various projects that leverage artificial intelligence to solve real-world problems.

Education and Expertise

Aarif Noordeen obtained a Bachelor of Engineering in Computer Science from SSN College of Engineering, where he studied from 2015 to 2019. His educational background includes foundational studies at Navadisha Montessori School and Sishya, where he completed his Junior High and High School education, respectively. This academic journey has equipped him with a solid understanding of computer science principles and machine learning techniques.

Internship Experience

Aarif Noordeen has gained practical experience through various internships. He worked as a Student Intern at Inforill Technologies Pvt Ltd for three months in 2016, where he was involved in technology-related projects. In 2017, he completed a one-month internship at vakilsearch, further enhancing his skills in a professional environment. Additionally, he served as a Research Intern at the Indian Institute of Technology, Madras, for one month in 2018, contributing to research initiatives.

Background

Aarif Noordeen's educational background includes early schooling at Navadisha Montessori School, followed by high school at Sishya. His academic path laid the groundwork for his pursuit of a degree in Computer Science, culminating in a Bachelor of Engineering from SSN College of Engineering. This progression reflects his commitment to developing expertise in technology and machine learning.

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