About

Asfiya Baig is a highly skilled Machine Learning Engineer with 2 years of professional experience in Computer Vision and Machine Learning. She is currently pursuing her Master's degree in ECE (Intelligent Systems, Robotics and Control) from the University of California, San Diego. During her time at UCSD, Asfiya worked on numerous applications involving deep learning, including Lidar Based 3D Object Detection, Visual Intertial SLAM using Kalman Filtering, and Image Captioning. She has gained a strong understanding of the mathematical theory underlying Machine Learning and Computer Vision, along with experience working with 3D Point Clouds. As a Computer Vision & Deep Learning Engineer, Asfiya has 2 years of work experience, during which she gained proficiency in C, C++, Python, PyTorch, TensorFlow, and Git. She worked at Tonbo Imaging, where she learned how to efficiently navigate and work on large code bases. As a team player, Asfiya enjoyed being part of a healthy collaborative work environment. Asfiya's relevant experience includes 4.20 years, during which she worked as a Software Engineer Intern in Deep Learning Inference at NVIDIA, where she improved operator support in the TensorRT Inference SDK. She also worked as a Deep Learning Intern at Acuant. Asfiya's education history includes a Master's degree in ECE from the University of California, San Diego, and a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from Birla Institute of Technology and Science, Pilani. Asfiya's tech stack includes ML, Software Engineer, Computer Vision, Deep Learning, Object detection, Object Detection, Python, TensorFlow, PyTorch, and Normalization. Asfiya is currently working as a Machine Learning Engineer at Peloton Interactive and is open to interesting job opportunities at the intersection of these fields.