Pete spent five years at Draper Laboratory where he designed and fielded real-time vision-aided navigation algorithms including approaches using visual inertial odometry and geo-referenced image correlation. His software and algorithms have been fielded on autonomous aerial vehicles that have flown in the United States and in theater. Previously, he spent six years at Honeywell where he developed SLAM algorithms and non-linear, fault tolerant controllers. He earned his MS from MIT and BS, summa cum laude, from University of Minnesota.
Kenny Yokoyama, AI & Autonomy
Kenny has maintained and developed software for robotic navigation including path planners and trajectory generators for autonomous quadrotors. Previously, he developed software and firmware to integrate, test, and maintain ranging and perception sensors for an autonomous floor cleaner at Brain Corporation. As a student at UCSD, he co-developed a vision controlled and target tracking mobile ground robot which won "Best Project" in the UCSD ROS Robotics course. He earned his BS in Computer Science from UCSD.
Frank Bogart, AI & Autonomy
Frank has developed numerous exploration and path-planning algorithms for autonomous robots. Previously, he developed a stereo vision based 3D tracking algorithm to assist autonomous UAV landing on a mobile platform for the Navy. He was recognized as intern of the year at SPAWAR, a 12,000-person organization. His work also includes vision based eye tracking and facial recognition. He earned his BS in Computer Science from UCSD.
Connie Sun, AI & Autonomy
Prior to joining Shield AI, Connie worked on 6DOF simulation, control data analysis, and mission validation for the Global Hawk and Triton UAVs at Northrop Grumman. She has experience from Orbital ATK performing system failure analysis on the Space Launch System thrust vector control system. She also worked at NASA's Jet Propulsion Laboratory evaluating potential landing sites for a Mars rover and co-authored three publications while at JPL. She graduated with her Master's in Aerospace Engineering from Purdue and her BSME from Caltech.
Adam Dorwart, AI & Autonomy
Adam has developed several robots and autonomous systems over the past several years. At Brain Corporation, he implemented SLAM algorithms and worked on perceptual systems that used RGB-D cameras, Lidar, and ultra-sonic sensors to create reliable maps of various environments. He also was the CTO and Co-Founder of a mobile app startup that developed a customer acquisition tool for the food services industry. He's personally built a hexapod robot, a solar powered boat, and several software applications. He graduated from UCSD with his BS in Computer Engineering.
Kyle Carbon, AI & Autonomy
Kyle's passion for aerospace stems from growing up in a multi-cultural household in Singapore that traveled across Asia, Europe, and North America. With research and work experience at Stanford, SpaceX, and Boeing, Kyle ultimately honed in on developing autonomous systems from conception to production. He matured the control electronics and software for shape memory alloy actuators at Boeing. In parallel, he also developed a physics-based LIDAR model that can be used in model-based development of control systems. He graduated with his MS in aeronautics & astronautics from Stanford and his BS in general engineering from Harvey Mudd College.
Kevin Choi, AI & Autonomy
Kevin has worked several years in consumer electronics product development and more recently developed localization and object recognition algorithms for autonomous vehicles. At Motorola Mobility, he helped design several generations of industry leading flagship devices, including the Moto X and Moto 360, and created new manufacturing processes that scaled to millions of units. In the field of robotics, he has worked at the crossroads of computer vision and localization, including structure from motion and monocular SLAM. He earned his Master’s in Robotics from the University of Michigan and BSME from UCLA.
Christian Wester, Mechanical
Christian has a broad range of experience designing and developing consumer products for a number of different industries. He began his career at Proctor & Gamble designing products for the Gillette brand and has since worked on SCUBA equipment, golf clubs and consumer electronics. Most recently, Christian led the mechanical engineering team responsible for the mechanical design of GoPro’s Karma quadcopter. He earned a BS in Mechanical Engineering from Worcester Polytechnic Institute
Manas Menon, Systems Engineering
Manas is a systems engineer with an emphasis on controls, instrumentation, and robotics. He has experience in a variety of startup roles, from founding through midstage, and from engineering research to development to manufacturing transfer and program manager. He has 20 patents issued. He earned his PhD in mechanical engineering from MIT, his MS in both electrical and mechanical engineering from MIT, and a BS in Bioengineering, summa cum laude, from UC Berkeley.
Sean Stanko, AI & Autonomy
Sean brings experience from SPAWAR where he developed hardware and software for a satellite tracking and communication station. At Stanford, he worked as a software engineer for the Stanford Nano Picture Satellite, an experimental micro-satellite designed to analyze the deployment of other satellites. He earned his MS in Aeronautics and Astronautics and his BS in Computer Science with a specialization in AI from Stanford Univeristy.
Adam Jaffe, AI & Autonomy
Adam began his career at Rockwell Collins, developing flight control and navigation systems for UAVs. He developed damage tolerant adaptive control architectures as well as automatic gain scheduling techniques for nonlinear systems. At L3 Communications he developed guidance and dynamic positioning controllers for large marine vessels. Prior to joining Shield, he was at Northrop Grumman where he designed and implemented closed loop simulation software, performed controls analysis, and systems integration. He completed his MSME with a focus in vehicle control systems at UC Berkeley and graduated magna cum laude with a BSME from UC Riverside.
Connor Kite, Mechanical
Connor previously worked at NASA Langley Research Center, where he developed analytic models of noise scattering and an image-analysis tool to measure component bowing during wind tunnel experiments. Connor earned his MSME from Stanford University, and his BSME from Southern Methodist University, graduating summa cum laude with a perfect GPA.
Mark White, Electrical
Mark started his career designing switched mode power supplies for various aerospace companies, focusing on modeling, control, and EMI reduction. Prior to joining Shield, he led hardware research and development of wireless power solutions for consumer electronics and medical devices at Qualcomm. He has over 20 patents filed and holds an MS and BS in electric engineering from Rensselaer Polytechnic Institute.
Ben Anderson, Mechanical
Prior to Shield, Ben worked on the Karma program at GoPro as one of the lead test pilots. For the Karma, he characterized battery performance, and collected sensor data. He has a wide range of experience, ranging from auto mechanics (he was a Porsche technician at SP Motorsports) to CNC manufacturing and CAD design. He is passionate about all things mechanical in nature and has been flying drones for the past five years.
Chet Lemon, Software
Chet contributes to the team as a devops engineer and software generalist. Previously, he worked as an intern at Microsoft and a couple early-stage startups doing anything from full-stack development to web scraping. During college, he enjoyed attending hackathons and building things, such as a card-swipe spoofer for mobile payments or a sensor kit to add modern safety features to older cars. He earned his BSCS at UCSD.
Evan Gravelle, AI & Autonomy
Prior to Shield, Evan developed localization software at SPAWAR for underwater vehicle state estimation. He has a passionate interest in all things AI, particularly in computer vision and reinforcement learning. He earned his PhD in controls from UCSD and graduated summa cum laude, first in his class, from UCSB in mechanical engineering.
Sam Khalandovsky, AI & Autonomy
Sam has a background in autonomous vehicles, having worked on novel localization methods for self-driving cars at MIT Lincoln Laboratory and controls for the same at Comma.ai. In additional to cars, he has experience in planning and control across a variety of platforms including the planning and controls algorithms for a dynamic walking bipedal robot. Sam earned his BS and MS degrees in Robotics Engineering at Worcester Polytechnic Institute.
Christopher Barngrover, AI & Autonomy
Chris spent 12 years in the Unmanned Systems Group at the Space and Naval Warfare Systems Center (SSC) Pacific. In that time he worked on the full spectrum of robotics research from command and control to data fusion. For the past 7 years he has focused on machine learning for object detection and tracking, motion detection, and other computer vision algorithms. Chris is also a part time lecturer of robotics in the Computer Science Engineering department at the University of California San Diego (UCSD). He earned his PhD and MS in Computer Science Engineering from UCSD and two BS degrees from Purdue University.
Amin Rahimi, AI & Autonomy
Amin joins Shield after working 11 years in the Unmanned Systems Group at SPAWAR Systems Center, Pacific. He has worked on a slew of robotics and machine (including deep) learning projects projects for localization and perception. Amin earned his BSEE from the University of California, San Diego.
Vibhav Ganesh, AI & Autonomy
Vibhav brings experience in distributed mapping algorithms by robotic teams with communication constraints in large GPS denied environments such as cave and tunnel networks. He has developed an information-theoretic metric that intelligently controls the flow of information between a team of exploring robots to enable operation in complex environments using high data-rate 3D sensors. Vibhav earned his MSCS with a perfect GPA, and BSCS with a perfect GPA, summa cum laude, from Carnegie Mellon University.
Scott Hollwedel, Embedded Systems
Scott comes from Netgear where he helped design and develop the Arlo wireless security monitoring system. He has extensive experience working on embedded systems with specialization in networking, media streaming, radio, and battery applications. He earned his BSEE from UCSD.
Allie Bernard, Testing
Prior to Shield, Allie had never flown a drone, today she spends her days helping the engineering team by dominating as a test engineer for Nova. She previously worked in an outpatient orthopedic and neuro-rehabilitation center and was an undergraduate teaching assistant in human anatomy labs. She earned her BS in Kinesiology from SDSU.
Mitch White, Mechanical
Mitch is a recent graduate from Northeastern University where he was the chassis design leader on Northeastern's Baja SAE team. In addition to his Baja SAE experience, Mitch had several internships ranging from aerospace to consumer electronics while at Northeastern, He earned his MS and BS in mechanical engineering from Northeastern University, graduating summa cum laude.
Tristan Novak, Electrical
Tristan is an electrical engineer performing hardware design for Shield AI. Prior to Shield, he designed wireless devices for the medical and Internet of Things (IoT) industries. His graduate research focused on designing circuits to wirelessly control the locomotion of insects used for SLAM and search and rescue missions. During a research assistantship he designed a noninvasive human brain stimulator for neuroscience research. Tristan graduated summa cum laude with perfect GPA in both his MSEE from NC State University and his BSEE from Clemson University.
Michele Maley, Business
Michele spends her time on business operations, marketing and talent at Shield AI. Michele has a background in working with tech startups, including leading EvoNexus - a startup tech incubator where she oversaw the startup portfolio from application to exit, managed strategic partnerships, operations and new business for all three locations. She studied Communications and Economics at UCSD.
Justin Maphet, Business
Justin proudly served in the US Navy for six years prior to joining Shield AI. He served as a Navy SEAL with tours to the Pacific Theater and Iraq. He earned his mechanical engineering degree from the University of Tennessee and is currently completing his MBV from the University of Southern California.
Rommel Pesigan, Software
Rommel has over 15 years of software development and engineering experience, having spent the last 7 years focused on mobile application development for the Android platform. Prior to joining Shield AI, Rommel was heavily involved in the production of the GoPro Android app for camera connectivity and UX design integration, as well as the production of the Slacker Radio app that gives listeners anytime, anywhere access to some of the world's best music and entertainment. Rommel earned his M.Eng in Electrical and Computer Engineering and his B.S. in Computer Engineering, with Cum Laude honors, from the University of California, San Diego (UCSD)
Alyssa Diokno, Testing
Alyssa is a recent graduate who earned her BS in Kinesiology from San Diego State University. Prior to working at Shield, Alyssa worked at a privately owned outpatient rehabilitation clinic and volunteered at various hospitals local to San Diego. Before Shield, Alyssa had never flown a drone, today she assists the engineering team by flying Nova as a test engineer.