About

Ahsen Khaliq is a skilled Machine Learning Engineer with extensive experience in software development and machine learning residency. Currently working at Gradio, Ahsen is responsible for developing and implementing machine learning models to improve the company's products and services. Prior to joining Gradio, Ahsen worked as a Software Developer at Runway and as a Machine Learning Residency at Snapchat. During his time at Runway, Ahsen gained valuable experience in software development, working on a variety of projects that required him to use his skills in programming languages such as Python, Java, and C++. At Snapchat, Ahsen honed his skills in machine learning, working on projects that involved natural language processing, computer vision, and deep learning. Ahsen's educational background includes a degree in Computer Science from the Georgia Institute of Technology, where he specialized in Machine Learning. He also holds a degree in Computer Science from the University of Maryland, where he gained a strong foundation in computer programming and software engineering. Ahsen's technical expertise includes machine learning, software engineering, and programming languages such as Python, Java, and C++. He is also proficient in natural language processing, computer vision, and deep learning. With 4.88 years of relevant experience, Ahsen is a highly skilled and motivated Machine Learning Engineer who is committed to delivering high-quality results. He is passionate about using his skills to develop innovative solutions that can help businesses grow and thrive.