Swarnabha Roy

Background

About Swarnabha Roy

PhD Candidate in Electrical & Computer Engineering with 5+ years of research and development experience in autonomous systems and robotics. My work focuses on designing and deploying scalable motion planning and multi-agent coordination algorithms for complex, real-world environments. I am passionate about building high-reliability autonomy software from the ground up. Core Competencies: C++, Python, ROS (1 & 2), Reinforcement Learning (RL), Docker, and Kubernetes. Key Accomplishments: • Reduced multi-robot system latency by 41% and improved scalability by 95% using Kubernetes-based orchestration and a novel traffic-aware pod scaler. • Shipped a production microservice at OYO Rooms that increased platform profits by up to 25%. • Developed a YOLO-v5 perception system for precision agriculture with 95% detection accuracy. • Prototyped novel UAV path-planning algorithms at Mitsubishi (MERL), leading to a patent filing. I am actively seeking full-time Software Engineer roles in Robotics and Autonomous Systems where I can apply my expertise in algorithms and software development to solve challenging problems. Please feel free to connect or contact me.