About

Jhalak Patel is a highly skilled Deep Learning Inference Software Engineer with over 8 years of relevant experience. Currently, she is working as a Senior Deep Learning Software Engineer (TensorRT) at NVIDIA, where she is responsible for developing high-performance deep learning inference library using NVIDIA TensorRT. Jhalak is a proficient C++ and Python programmer and has expertise in CUDA and Tensorflow. She is also an active contributor to the open-source community and her Github profile showcases some of her impressive work. In her past roles, Jhalak has worked as a Deep Learning Software Engineer (TensorRT) at NVIDIA and a Software Engineer at Intel. At Intel, she was responsible for performance optimizations and app development for Windows ML/CNTK. Jhalak holds a Master's degree in Computer Engineering from Purdue University and a Bachelor's degree in Electrical Engineering from the Indian Institute of Technology, Indore. Her education and experience have equipped her with a strong understanding of deep learning, software engineering, Python, Tensorflow, and ML. Jhalak's technical expertise and experience make her a valuable asset to any team working on deep learning projects. She is passionate about exploring new technologies and has a proven track record of delivering high-quality work.