Mid-level Data Scientist specializing in MLOps and Generative AI
Illinois, ILData Scientist4 years experienceMid-LevelFinancial ServicesTechnologySaaS
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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.
Experience
Data ScientistBNY
Data ScientistVivma Software Inc
Education
Illinois Institute of Technologymaster, Data Science (2025)
CMR Institute of Technologybachelor, Information Science and Engineering (2022)
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