Aqeel Madhi

Graduate Machine Learning Engineer @ Derivco

About Aqeel Madhi

Aqeel Madhi is a Graduate Machine Learning Engineer at Derivco in Durban, South Africa, where he has worked since 2023. He holds multiple degrees in Computer Science and Pure Mathematics from the University of KwaZulu-Natal and has developed applications that enable users to interact with data using natural language queries.

Work at Derivco

Aqeel Madhi has been employed at Derivco as a Graduate Machine Learning Engineer since 2023. His role involves developing machine learning applications and solutions. He has contributed to the company by pioneering a Proof of Concept application that enables non-technical users to interact with data using natural language queries. Additionally, he has presented insights regarding the company's AI journey to graduate cohorts, highlighting his involvement in the organization's technological advancements.

Education and Expertise

Aqeel Madhi studied at the University of KwaZulu-Natal, where he earned a Bachelor of Science in Computer Science and Information Technology in 2019. He continued his studies and achieved a Bachelor of Science Honours in Computer Science in 2022. His academic background includes a focus on Pure Mathematics and Computer Science, equipping him with a strong foundation in computational theories and practices relevant to machine learning.

Background in Quantum Computing

Prior to his current role, Aqeel Madhi worked as a Quantum Computing Intern at the University of KwaZulu-Natal's Quantum Physics Department from 2019 to 2020. During this internship, he gained experience in advanced computational techniques, which complement his expertise in machine learning and data processing.

Technical Skills and Projects

Aqeel Madhi has developed various technical skills, including data visualization using Power BI and SQL, which he utilized to provide actionable insights. He engineered a data processing solution with PySpark to ensure data privacy and compliance. Additionally, he conducted unit testing and code refactoring for an internal large language model application using C#, demonstrating his proficiency in software development and machine learning technologies.

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