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Nishchal Gante
Mid-level Data Scientist specializing in MLOps and Generative AI
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About
Robotics software/ML engineer who built perception and navigation-related ML systems for autonomous supermarket carts, including object detection, shelf recognition, and obstacle avoidance. Strong ROS/ROS2 practitioner who optimized real-time performance (reported 50% latency reduction) and deployed containerized ROS/ML pipelines at scale using Docker, Kubernetes, and CI/CD.
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Key Strengths
- Built core ML systems for autonomous supermarket robotic carts (perception, navigation, real-time decision-making)
- Improved real-time perception in cluttered environments via multi-stage detection + temporal smoothing (reduced false positives)
- Diagnosed end-to-end latency bottlenecks using ROS diagnostics/tracing across perception/inference/planning
- Cut system latency by ~50% by reducing serialization overhead and parallelizing node execution
- Developed low-latency vision inference ROS node improving obstacle detection and navigation safety
- Integrated key ROS2 navigation/localization stack components (Nav2, TF2, robot_localization)
- Implemented distributed robot/system communication using ROS2 DDS, MQTT, and REST APIs
- Containerized ROS/ML pipelines and deployed scalable workloads with Docker + Kubernetes + automated CI/CD testing
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