About

Harshita Mangal is a Senior Machine Learning Software Engineer at Qualcomm, where she is responsible for building network quantization and compression techniques for deep learning frameworks like PyTorch and TensorFlow to accelerate the performance of models on Qualcomm Hardware. With a strong background in Electrical Engineering, Computer Vision, and Machine Learning, she has a Master's degree from UC San Diego. During her time at UC San Diego, she worked with Professor Nuno Vasconcelos at SVCL, where she focused on computer vision and machine learning. Harshita is a hardworking and determined individual who is always eager to learn. She strongly believes in the philosophy of "You may never know until you try." She enjoys exploring new challenges in the realm of deep learning and its applications in computer vision. With over 5 years of relevant experience, she has a diverse skill set that includes ML, software engineering, computer vision, deep learning, PyTorch, TensorFlow, research scientist, test, and data scientist. Before joining Qualcomm, Harshita worked as a Machine Learning Software Engineer at Qualcomm, where she was responsible for E2E development, design, and testing for features like Spatial SVD, Cross-Layer Equalization (C++ and PyTorch), Bias Correction (C++ and PyTorch), and Visualization (TensorFlow) for AIMET tool. She was recognized multiple times for high-quality, independent work and timely delivery of code. She also developed an interactive demo for NeurIPS 2019 to showcase Cross-Layer Equalization and Visualization feature and presented a poster on Network Quantization at Qualcomm ML Summit 2019. Harshita has also worked as a Graduate Teaching Assistant at the University of California, San Diego - Jacobs School of Engineering, where she was responsible for conducting office hours, preparing and grading assignments, and teaching courses like Detection Theory (ECE 254) (Fall '17) and Data Science in Practice (COGS 108) (Winter '18). Overall, Harshita Mangal is a highly skilled and experienced professional who is passionate about machine learning and its applications. With her strong work ethic and eagerness to learn, she is a valuable asset to any team.