Dr. Gunnam is an innovative technology leader with vision and passion who effectively connects with individuals and groups. Dr. Gunnam's breakthrough contributions are in the areas of advanced error correction systems, storage-class memory systems, and computer vision-based localization & navigation systems. He has helped drive organizations to become industry leaders through ground-breaking technologies. Dr. Gunnam has 86 issued US patents and 100+ patent applications/invention disclosures on algorithms, architectures, and real-time low-cost implementations for computing, storage, and computer vision systems. He is the lead inventor/sole inventor for 90% of them. Dr. Gunnam’s patented work has been already incorporated in more than 3 billion data storage, WiFi and 5G chips as of 2020 and is set to continue to be incorporated in more than 500 million chips per year.Dr. Gunnam is also a key contributor to the precise localization and navigation technology commercialized for autonomous aerial refueling and space docking applications. His recent patent-pending inventions on low-complexity simultaneous localization and mapping (SLAM) and 3D convolutional neural network (CNN) for object detection, tracking, and classification are commercialized for LiDAR + camera-based perception for autonomous driving and robotic systems. His more recent inventions on machine learning accelerators have ~2x savings vs the state of the art.Dr. Gunnam received his MSEE and Ph.D. in Computer Engineering from Texas A&M University, College Station. He is world-renowned for the balance between strong analytical ability and pragmatic insight into the implementation of advanced technology. He served as IEEE Distinguished Speaker and Plenary Speaker for 25+ events and international conferences and more than 3000 attendees in the USA, Canada, and Asia benefited from his lecture talks.Leadership skills: Hands-on leadership, team building, mentoring, patience, empathy, problem solving, dependability, effective communication, planning, scheduling, organizing, consensus building across large organizations and across industry. Technical Skills: Co-optimization of algorithms, software and hardware, hardware friendly algorithms, hardware architectures, Domain-specific accelerator architectures, VLSI signal processing architectures, computer arithmetic, machine learning, and AI, Computer Vision, advanced ECC, Programming (MATLAB, Python, C/C++, Verilog), EDA tools (ModelSim, NC Sim, VC Sim, Synopsys DC and familiarity with P&R tools).