Divya Aggarwal is a software engineer specializing in safety-critical real-time robotics, with 9 years of experience across automotive, healthcare robotics, and service-robotics domains. She currently designs edge-optimized semantic processing capabilities for Android Automotive OS at Google, enabling standardized scene descriptions consumed by automotive OEMs and Tier providers. Before Google, she designed end-to-end robotics pipelines at Telos Health for recording X-ray streams in thrombectomy procedures, using C++14, GStreamer, and WebRTC, and added video streaming for clot capture with Qt6. At Apex.AI, she built a ROS 2 based communication bridge for CARLA, delivered talks at CppCon 2023 and ROSCon 2022, and implemented zero-copy perception pipelines with Apex.Grace across multi-camera setups. Earlier at Bossa Nova Robotics, she improved perception algorithms on 75k real-store images, achieving a 90% accuracy in price reading, and worked on automating store onboarding and aisle-name detection using ROS and PCL. She earned a Master’s in Computer Science from UC San Diego and has experience as a graduate teaching assistant, underscoring both depth and ability to communicate complex concepts.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Technology, Computer Science and Engineering, Bachelor of Technology, Computer Science and Engineering at Indira Gandhi Institute of Technology
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