About

Navin Anwani is an experienced Systems Engineer with a strong background in NR and LTE modem design, as well as the application of Machine Learning, computer software industry and DSP core design. He is currently employed as a Staff Engineer at Qualcomm Wireless R&D, where he is working on the applications of Machine Learning to NR modem design. Navin has a Master of Technology (M.Tech.) in Communication Engineering from the Indian Institute of Technology, Bombay. He is skilled in Signal Processing, Algorithms, Optimization, and Machine Learning. With 8.12 years of relevant experience, Navin has a demonstrated history of working on complex projects in the telecommunications industry. Previously, Navin held the positions of Senior Lead Engineer and Senior Engineer at Qualcomm, where he worked on applications of Machine Learning to 5G-NR modem design and downlink rate adaptation algorithms to maximize throughput in LTE modems, respectively. Navin's education history includes a Bachelor of Technology (B.Tech.) in Electronics and Communication Engineering from Visvesvaraya National Institute of Technology. He possesses a broad range of technical skills, including ML, Senior Software Engineer, test, Research Scientist, Neural Networks, Spring, Mobile, Computer Vision, Python, and C. Navin is a strong engineering professional with excellent problem-solving skills and a proven ability to deliver high-quality results. He is passionate about staying up-to-date with the latest developments in his field and is always looking for new challenges to tackle.