Ameer Hamza
About Ameer Hamza
Ameer Hamza is a Machine Learning Engineer with a Bachelor of Science in Computer Science from Lahore University of Management Sciences. He has experience working in both remote and international settings, currently employed at Turing.com in Palo Alto, California, and previously at Sibme and UAVinity.
Work at Turing
Ameer Hamza currently holds the position of Machine Learning Engineer at Turing.com, where he has been employed since 2021. His role is based in Palo Alto, California, United States. At Turing, he focuses on applying machine learning techniques to solve complex problems, particularly in the area of matching and ranking functions.
Education and Expertise
Ameer Hamza earned a Bachelor of Science in Computer Science from Lahore University of Management Sciences (LUMS) between 2014 and 2018. Prior to this, he completed his FSc in Engineering at Punjab Group of Colleges from 2012 to 2014. His educational background provides a strong foundation in computer science principles, which he applies in his machine learning work.
Background
Ameer Hamza has experience working in both remote and international environments, which includes roles in the United States and Pakistan. He began his professional journey as a Summer Research Intern at LUMS in 2017, transitioning to full-time positions in machine learning shortly after graduation. His career includes roles at Sibme and UAVinity, where he further developed his expertise in machine learning.
Previous Work Experience
Before joining Turing.com, Ameer Hamza worked as a Machine Learning Engineer at Sibme from 2020 to 2021 in a remote capacity. He also held a position at UAVinity from 2018 to 2019 in Lahore District, Punjab, Pakistan. His roles involved applying machine learning techniques to various projects, contributing to his professional development in the field.
Specialization in Machine Learning
Ameer Hamza specializes in addressing the matching problem and optimizing ranking functions through machine learning techniques. His focus on these areas reflects his commitment to leveraging advanced algorithms and data analysis to enhance performance and efficiency in machine learning applications.