Kushagra Srivastava is a Machine Learning Engineer specializing in vision-based autonomy and robotics, currently building autonomous collaborative robots at Burro to tackle labor shortages in agriculture. With an MS in Robotics from WPI and four years of hands-on experience, he has developed real-time perception and navigation systems for palm-sized drones and UAVs used in wire and civil-structure inspection. His work spans cutting-edge 3D Gaussian Splatting, NeRF-initialized models, and transformer-based change detection for temporally evolving scenes, enabling zero-shot relocalization and local model updates. Previously he delivered a camera-only construction site inspection stack and contributed to pedagogy for aerial autonomy via VizFlyt, demonstrating novel view synthesis at 100 Hz. He combines strong academic results and publications with practical deployed systems—from a service robot used in hospitals to production-ready agricultural robots—revealing a knack for turning advanced research into applied, robust solutions. Notably, he leverages memory-bank and attention techniques to improve detection in adverse weather, increasing mAP significantly in benchmark evaluations.
4 years of coding experience
5 years of employment as a software developer
High School, 12th Grade, 93.2%, High School, 12th Grade, 93.2% at Rajhans Vidyalaya
Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, 3.90, Master of Science - MS, Mechatronics, Robotics, and Automation Engineering, 3.90 at Worcester Polytechnic Institute
High School, 10th Grade, 94.67%, High School, 10th Grade, 94.67% at Lilavatibai Podar Sr Secondary School
Bachelor of Technology - BTech, Electronics and Communications Engineering, 8.56, Bachelor of Technology - BTech, Electronics and Communications Engineering, 8.56 at Visvesvaraya National Institute of Technology
Primary and Middle School, Primary and Middle School at Cambridge School Noida
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Kushagra Srivastava - Machine Learning Engineer at Burro