About

Kajal Gada is a Robotics Software Engineer with a passion for developing algorithms that can be implemented in the real world. She has a Master's degree in Robotics from the University of Maryland and has worked at Reality AI, Qualcomm, and Brain Corp, gaining 3 years of professional experience. Kajal understands that one of the biggest challenges in Robotics is implementing algorithms in the real world, and that is where her expertise lies. She is adept at digging in at ground zero to implement solutions. Kajal is a YouTuber and shares her insights and teaches robotics through her channel. She is aware of the challenges faced by women and international students in the US and wants to give back to the community by sharing her knowledge. Kajal's YouTube channel is an excellent resource for those interested in learning about robotics. Kajal's competencies include Python, ROS, and problem-solving. She has worked on projects such as incorporating ToF camera data for better situational awareness, developing and integrating advanced path planning functionality, and reducing sensor breakage and replacement costs by designing protective casing for LiDAR. Kajal has also worked on debugging hardware interfaces and real-time protocols between software modules for smooth application runs. Kajal has worked at Brain Corp as a Robotics Software Engineer, where she led collaborative efforts amongst multiple teams to resolve mission-critical issues for timely software releases. She has also worked jointly with R&D to develop and integrate advanced path planning functionality that improved performance by 20%. Kajal was entrusted with investigating safety concerns to root cause software bugs and resolve them promptly. Kajal has a Master of Business Administration (M.B.A.) and a Bachelor of Technology (B.Tech.) degree from NMIMS. She is also a Software Engineer with experience in AI, Python, QA, and Docker. With 6.77 years of relevant experience, Kajal is a skilled Robotics Software Engineer who is passionate about developing algorithms that can be implemented in the real world.