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Principal Machine Learning Engineer
I build 3D reconstruction, lane mapping, and sensor-data machine learning systems.
United StatesPrincipal Machine Learning Engineer at Hexagon Asset Lifecycle Intelligence
Designed and developed state-of-the-art lane line creation models to enhance 3D mapping accuracy. Implemented systems for tracking and updating lane line maps, and led efforts in diagnosing pose errors and developing automated pseudo-labeling tools.
3D MappingSensor FusionActive LearningPseudo LabelingCloud DevelopmentData GovernanceMachine LearningAI
Designed and implemented offline 3D reconstruction algorithms for annotating sensor data from cameras, lidar, and GPS/IMU. Led development of lane line detection and mapping systems, optimizing annotation quality and downstream model training efficiency.
3D ReconstructionLane DetectionMappingSensor Data
Bachelor's degree in Computer Science from the University of North Texas.
Developed backend solutions for processing financial data, optimizing algorithms for performance and reliability. Enhanced data ingestion pipelines and implemented CI/CD workflows, while also engineering 3D reconstruction and lane line detection systems.
Backend DevelopmentData IngestionCI CDGitHub ActionsVersion Control3D ReconstructionLane DetectionMappingCloud ServicesData GovernanceAnomaly DetectionCalibration
Optimized deployment processes using Docker and Kubernetes to improve stability and scalability. Implemented automation strategies to reduce manual deployment times and managed infrastructure provisioning and CI/CD pipeline integrations.
DockerKubernetesCI CDAutomationProvisioningMonitoringDevOps
Profile sourced from Himalayas.